{"status":"ok","message-type":"work-list","message-version":"1.0.0","message":{"facets":{},"total-results":6240,"items":[{"indexed":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T08:22:44Z","timestamp":1709367764060},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2010,7,26]]},"DOI":"10.1145\/1833351.1778787","type":"journal-article","created":{"date-parts":[[2010,7,12]],"date-time":"2010-07-12T13:31:09Z","timestamp":1278941469000},"page":"1","source":"Crossref","is-referenced-by-count":1,"title":["Physics-inspired topology changes for thin fluid features"],"prefix":"10.1145","volume":"29","author":[{"given":"Chris","family":"Wojtan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nils","family":"Th\u00fcrey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Gross","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Greg","family":"Turk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2015,4,10]],"date-time":"2015-04-10T00:30:17Z","timestamp":1428625817000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/portal.acm.org\/citation.cfm?doid=1833351.1778787"}},"issued":{"date-parts":[[2010,7,26]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2010,7,26]]}},"URL":"https:\/\/doi.org\/10.1145\/1833351.1778787","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2010,7,26]]}},{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:10:32Z","timestamp":1753881032030,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T00:00:00Z","timestamp":1468195200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2016,7,11]]},"DOI":"10.1145\/3261428","type":"journal-article","created":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T01:28:10Z","timestamp":1585963690000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Session details: Correspondences &amp; mapping"],"prefix":"10.1145","volume":"35","author":[{"given":"Yaron","family":"Lipman","sequence":"first","affiliation":[{"name":"Weizmann Institute of Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,7,11]]},"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3261428","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:48:51Z","timestamp":1750225731000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3261428"}},"issued":{"date-parts":[[2016,7,11]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,7,11]]}},"alternative-id":["10.1145\/3261428"],"URL":"https:\/\/doi.org\/10.1145\/3261428","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2016,7,11]]},"assertion":[{"value":"2016-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3261428"},{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:35:49Z","timestamp":1753882549725,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2003,7,1]],"date-time":"2003-07-01T00:00:00Z","timestamp":1057017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2003,7]]},"DOI":"10.1145\/3262491","type":"journal-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T02:13:23Z","timestamp":1599790403000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Session details: Fluids and smoke"],"prefix":"10.1145","volume":"22","member":"320","published-online":{"date-parts":[[2003,7]]},"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3262491","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:24:29Z","timestamp":1750267469000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3262491"}},"editor":[{"given":"Doug","family":"James","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"issued":{"date-parts":[[2003,7]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2003,7]]}},"alternative-id":["10.1145\/3262491"],"URL":"https:\/\/doi.org\/10.1145\/3262491","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2003,7]]},"assertion":[{"value":"2003-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3262491"},{"indexed":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T08:22:09Z","timestamp":1709367729581},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"99","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2007,7,29]]},"DOI":"10.1145\/1239451.1239513","type":"journal-article","created":{"date-parts":[[2008,3,12]],"date-time":"2008-03-12T18:07:46Z","timestamp":1205345266000},"page":"62","source":"Crossref","is-referenced-by-count":0,"title":["A theory of locally low dimensional light transport"],"prefix":"10.1145","volume":"26","author":[{"given":"Dhruv","family":"Mahajan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ira Kemelmacher","family":"Shlizerman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi","family":"Ramamoorthi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Belhumeur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T09:29:39Z","timestamp":1415006979000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/portal.acm.org\/citation.cfm?doid=1276377.1276454"}},"issued":{"date-parts":[[2007,7,29]]},"references-count":0,"journal-issue":{"issue":"99","published-print":{"date-parts":[[2007,7,29]]}},"URL":"https:\/\/doi.org\/10.1145\/1239451.1239513","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2007,7,29]]}},{"indexed":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T08:21:33Z","timestamp":1709367693439},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"99","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2007,7,29]]},"DOI":"10.1145\/1239451.1239453","type":"journal-article","created":{"date-parts":[[2008,3,12]],"date-time":"2008-03-12T22:07:46Z","timestamp":1205359666000},"page":"2","source":"Crossref","is-referenced-by-count":1,"title":["Solid texture synthesis from 2D exemplars"],"prefix":"10.1145","volume":"26","author":[{"given":"Johannes","family":"Kopf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Wing","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Cohen-Or","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Deussen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dani","family":"Lischinski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tien-Tsin","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T14:27:24Z","timestamp":1415024844000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/portal.acm.org\/citation.cfm?doid=1276377.1276380"}},"issued":{"date-parts":[[2007,7,29]]},"references-count":0,"journal-issue":{"issue":"99","published-print":{"date-parts":[[2007,7,29]]}},"URL":"https:\/\/doi.org\/10.1145\/1239451.1239453","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2007,7,29]]}},{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T06:55:45Z","timestamp":1649055345099},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T00:00:00Z","timestamp":1500508800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2017,7,20]]},"DOI":"10.1145\/3072959.3126849","type":"journal-article","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T08:24:07Z","timestamp":1500625447000},"page":"1","source":"Crossref","is-referenced-by-count":1,"title":["Multi-contact locomotion using a contact graph with feasibility predictors"],"prefix":"10.1145","volume":"36","author":[{"given":"Changgu","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Hee","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T10:08:02Z","timestamp":1500631682000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3072959.3126849"}},"issued":{"date-parts":[[2017,7,20]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,7,20]]}},"URL":"https:\/\/doi.org\/10.1145\/3072959.3126849","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2017,7,20]]}},{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:36:59Z","timestamp":1753882619763,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"3","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2005,7]]},"DOI":"10.1145\/3262726","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T21:31:11Z","timestamp":1585949471000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Session details: I3D (symposium on interactive 3D graphics)"],"prefix":"10.1145","volume":"24","member":"320","published-online":{"date-parts":[[2005,7]]},"container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T14:02:18Z","timestamp":1693836138000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3262726"}},"editor":[{"given":"David","family":"Luebke","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"issued":{"date-parts":[[2005,7]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2005,7]]}},"alternative-id":["10.1145\/3262726"],"URL":"https:\/\/doi.org\/10.1145\/3262726","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2005,7]]},"assertion":[{"value":"2005-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3262726"},{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T18:25:47Z","timestamp":1649183147815},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2012,8,1]]},"DOI":"10.1145\/2231816","type":"journal-issue","created":{"date-parts":[[2012,9,11]],"date-time":"2012-09-11T18:21:09Z","timestamp":1347387669000},"source":"Crossref","is-referenced-by-count":3,"prefix":"10.1145","volume":"31","member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2012,9,11]],"date-time":"2012-09-11T18:21:09Z","timestamp":1347387669000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2231816"}},"issued":{"date-parts":[[2012,8,1]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2012,8,1]]}},"URL":"https:\/\/doi.org\/10.1145\/2231816","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2012,8,1]]}},{"indexed":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T08:31:15Z","timestamp":1668069075728},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T00:00:00Z","timestamp":1500508800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ACM Trans. Graph.","TOG"],"published-print":{"date-parts":[[2017,7,20]]},"DOI":"10.1145\/3072959.3126793","type":"journal-article","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T08:24:07Z","timestamp":1500625447000},"page":"1","source":"Crossref","is-referenced-by-count":1,"title":["Understanding and exploiting object interaction landscapes"],"prefix":"10.1145","volume":"36","author":[{"given":"S\u00f6ren","family":"Pirk","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vojt\u011bch","family":"Krs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaimo","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suren Deepak","family":"Rajasekaran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuke","family":"Yoshiyasu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bedrich","family":"Benes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonidas J.","family":"Guibas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T08:45:27Z","timestamp":1500626727000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3072959.3126793"}},"issued":{"date-parts":[[2017,7,20]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,7,20]]}},"URL":"https:\/\/doi.org\/10.1145\/3072959.3126793","ISSN":["0730-0301"],"issn-type":[{"value":"0730-0301","type":"print"}],"published":{"date-parts":[[2017,7,20]]}},{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T04:26:59Z","timestamp":1765254419903,"version":"3.41.0"},"reference-count":76,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T00:00:00Z","timestamp":1731974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSF IIS","award":["#2433322"],"award-info":[{"award-number":["#2433322"]}]},{"DOI":"10.13039\/100000148","name":"ECCS","doi-asserted-by":"crossref","award":["#2318814"],"award-info":[{"award-number":["#2318814"]}],"id":[{"id":"10.13039\/100000148","id-type":"DOI","asserted-by":"crossref"}]},{"name":"CAREER","award":["#2433307"],"award-info":[{"award-number":["#2433307"]}]},{"name":"IIS","award":["#2106733"],"award-info":[{"award-number":["#2106733"]}]},{"DOI":"10.13039\/100000089","name":"OISE","doi-asserted-by":"crossref","award":["#2433313"],"award-info":[{"award-number":["#2433313"]}],"id":[{"id":"10.13039\/100000089","id-type":"DOI","asserted-by":"crossref"}]},{"name":"CNS","award":["#1919647"],"award-info":[{"award-number":["#1919647"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2024,12,19]]},"abstract":"<jats:p>We introduce a differentiable moving particle representation based on the multi-level partition of unity (MPU) to represent dynamic implicit geometries. At the core of our representation are two groups of particles, named feature particles and sample particles, which can move in space and produce dynamic surfaces according to external velocity fields or optimization gradients. These two particle groups iteratively guide and correct each other by alternating their roles as inputs and outputs. Each feature particle carries a set of coefficients for a local quadratic patch. These particle patches are assembled with partition-of-unity weights to derive a continuous implicit global shape. Each sampling particle carries its position and orientation, serving as dense surface samples for optimization tasks. Based on these moving particles, we develop a fully differentiable framework to infer and evolve highly detailed implicit geometries, enhanced by a multi-level background grid for particle adaptivity, across different inverse tasks. We demonstrated the efficacy of our representation through various benchmark comparisons with state-of-the-art neural representations, achieving lower memory consumption, fewer training iterations, and orders of magnitude higher accuracy in handling topologically complex objects and dynamic tracking tasks.<\/jats:p>","DOI":"10.1145\/3687989","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T15:46:04Z","timestamp":1732031164000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-level Partition of Unity on Differentiable Moving Particles"],"prefix":"10.1145","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4319-1191","authenticated-orcid":false,"given":"Jinjin","family":"He","sequence":"first","affiliation":[{"name":"Dartmouth College, Hanover, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7395-5372","authenticated-orcid":false,"given":"Taiyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dartmouth College, Hanover, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3597-1328","authenticated-orcid":false,"given":"Hiroki","family":"Kobayashi","sequence":"additional","affiliation":[{"name":"Toyota Central R&amp;D Labs., Inc., Nagakute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9335-1269","authenticated-orcid":false,"given":"Atsushi","family":"Kawamoto","sequence":"additional","affiliation":[{"name":"Toyota Central R&amp;D Labs., Inc., Nagakute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1812-068X","authenticated-orcid":false,"given":"Yuqing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Toyota Research Institute of North America, Ann Arbor, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7055-6675","authenticated-orcid":false,"given":"Tsuyoshi","family":"Nomura","sequence":"additional","affiliation":[{"name":"Toyota Central R&amp;D Labs., Inc., Nagakute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1392-0928","authenticated-orcid":false,"given":"Bo","family":"Zhu","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,19]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Jad Abou-Chakra Feras Dayoub and Niko S\u00fcnderhauf. 2023. ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. arXiv:2211.04041 [cs.CV]","DOI":"10.1109\/WACV57701.2024.00587"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00479"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2001.964489"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMI.2005.5"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1272690.1272719"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073368.1073379"},{"key":"e_1_2_1_7_1","unstructured":"Jules Bloomenthal and Chandrajit Bajaj. 1997. Introduction to implicit surfaces. Morgan Kaufmann."},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","first-page":"229","DOI":"10.7546\/ijba.2018.22.3.229-238","article-title":"Adaptive Meshing Based on the Multi-level Partition of Unity and Dynamic Particle Systems for Medical Image Datasets","volume":"22","author":"Chen Zhong","year":"2018","unstructured":"Zhong Chen, Zhiwei Hou, Quanquan Yang, and Xiaobing Chen. 2018. Adaptive Meshing Based on the Multi-level Partition of Unity and Dynamic Particle Systems for Medical Image Datasets. International Journal Bioautomation 22, 3 (2018), 229.","journal-title":"International Journal Bioautomation"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00386"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00603"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530174"},{"key":"e_1_2_1_12_1","volume-title":"Symposium on Geometry processing. 43--52","author":"Dey Tamal K","year":"2005","unstructured":"Tamal K Dey and Jian Sun. 2005. An Adaptive MLS Surface for Reconstruction with Guarantees.. In Symposium on Geometry processing. 43--52."},{"key":"e_1_2_1_13_1","volume-title":"Proceedings of Graphics Interface","author":"Duranleau Franc\u00e7ois","year":"2008","unstructured":"Franc\u00e7ois Duranleau, Philippe Beaudoin, and Pierre Poulin. 2008. Multiresolution point-set surfaces. In Proceedings of Graphics Interface 2008. 211--218."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1006\/jcph.2002.7166"},{"key":"e_1_2_1_15_1","volume-title":"International journal for numerical methods in engineering 15, 11","author":"Franke Richard","year":"1980","unstructured":"Richard Franke and Greg Nielson. 1980. Smooth interpolation of large sets of scattered data. International journal for numerical methods in engineering 15, 11 (1980), 1691--1704."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344899"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2017.10.006"},{"key":"e_1_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Ga\u00ebl Guennebaud and Markus Gross. 2007. Algebraic point set surfaces. In ACM siggraph 2007 papers. 23--es.","DOI":"10.1145\/1275808.1276406"},{"key":"e_1_2_1_19_1","volume-title":"MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. In European Conference on Computer Vision.","author":"Guillard Benoit","year":"2022","unstructured":"Benoit Guillard, Federico Stella, and Pascal Fua. 2022. MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. In European Conference on Computer Vision."},{"key":"e_1_2_1_20_1","volume-title":"Point2mesh: A self-prior for deformable meshes. arXiv preprint arXiv:2005.11084","author":"Hanocka Rana","year":"2020","unstructured":"Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or. 2020. Point2mesh: A self-prior for deformable meshes. arXiv preprint arXiv:2005.11084 (2020)."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2005.04.013"},{"key":"e_1_2_1_22_1","volume-title":"Taichi: a language for high-performance computation on spatially sparse data structures. ACM transactions on graphics 38, 6","author":"Hu Yuanming","year":"2019","unstructured":"Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, and Fr\u00e9do Durand. 2019. Taichi: a language for high-performance computation on spatially sparse data structures. ACM transactions on graphics 38, 6 (2019), 1--16."},{"key":"e_1_2_1_23_1","volume-title":"2010 20th International Conference on Pattern Recognition. IEEE, 682--685","author":"Hu Yuan","year":"2010","unstructured":"Yuan Hu, Jingqi Yan, Wei Li, and Pengfei Shi. 2010. A novel facial localization for three-dimensional face using multi-level partition of unity implicits. In 2010 20th International Conference on Pattern Recognition. IEEE, 682--685."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1852437.1852449"},{"key":"e_1_2_1_25_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3306346.3322994","article-title":"Variational implicit point set surfaces","volume":"38","author":"Huang Zhiyang","year":"2019","unstructured":"Zhiyang Huang, Nathan Carr, and Tao Ju. 2019. Variational implicit point set surfaces. ACM Transactions on Graphics (TOG) 38, 4 (2019), 1--13.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2009.10.034"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00133"},{"key":"e_1_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Ying Jiang Chang Yu Tianyi Xie Xuan Li Yutao Feng Huamin Wang Minchen Li Henry Lau Feng Gao Yin Yang et al. 2024. VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality. arXiv preprint arXiv:2401.16663 (2024).","DOI":"10.1145\/3641519.3657448"},{"key":"e_1_2_1_29_1","volume-title":"Proceedings of the fourth Eurographics symposium on Geometry processing","volume":"7","author":"Kazhdan Michael","year":"2006","unstructured":"Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe. 2006. Poisson surface reconstruction. In Proceedings of the fourth Eurographics symposium on Geometry processing, Vol. 7."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487237"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2730202"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417861"},{"volume-title":"Geometric modeling for scientific visualization","author":"Levin David","key":"e_1_2_1_34_1","unstructured":"David Levin. 2004. Mesh-independent surface interpolation. In Geometric modeling for scientific visualization. Springer, 37--49."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1002\/cav.1536"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00780"},{"key":"e_1_2_1_37_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 1788--1797","author":"Liu Shi-Lin","year":"2021","unstructured":"Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, and Yang Liu. 2021. Deep implicit moving least-squares functions for 3D reconstruction. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 1788--1797."},{"key":"e_1_2_1_38_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 20834--20843","author":"Long Xiaoxiao","year":"2023","unstructured":"Xiaoxiao Long, Cheng Lin, Lingjie Liu, Yuan Liu, Peng Wang, Christian Theobalt, Taku Komura, and Wenping Wang. 2023. Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topologies. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 20834--20843."},{"key":"e_1_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Jonathon Luiten Georgios Kopanas Bastian Leibe and Deva Ramanan. 2024. Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. In 3DV.","DOI":"10.1109\/3DV62453.2024.00044"},{"key":"e_1_2_1_40_1","volume-title":"European Conference on Computer Vision. Springer, 711--729","author":"Mehta Ishit","year":"2022","unstructured":"Ishit Mehta, Manmohan Chandraker, and Ravi Ramamoorthi. 2022. A level set theory for neural implicit evolution under explicit flows. In European Conference on Computer Vision. Springer, 711--729."},{"key":"e_1_2_1_41_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 419--429","author":"Mehta Ishit","year":"2023","unstructured":"Ishit Mehta, Manmohan Chandraker, and Ravi Ramamoorthi. 2023. A Theory of Topological Derivatives for Inverse Rendering of Geometry. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 419--429."},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530151"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_2_1_44_1","unstructured":"Andrew Nealen. 2004. An as-short-as-possible introduction to the least squares weighted least squares and moving least squares methods for scattered data approximation and interpolation. URL: http:\/\/www.nealen.com\/projects 130 150 (2004) 25."},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480501"},{"key":"e_1_2_1_46_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 14279--14289","author":"Novello Tiago","year":"2023","unstructured":"Tiago Novello, Vinicius Da Silva, Guilherme Schardong, Luiz Schirmer, Helio Lopes, and Luiz Velho. 2023. Neural Implicit Surface Evolution. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 14279--14289."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882293"},{"key":"e_1_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Yutaka Ohtake Alexander Belyaev Marc Alexa Greg Turk and Hans-Peter Seidel. 2005. Multi-level partition of unity implicits. In Acm Siggraph 2005 Courses. 173--es.","DOI":"10.1145\/1198555.1198649"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(88)90002-2"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"e_1_2_1_51_1","volume-title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Park Jeong Joon","year":"2019","unstructured":"Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Love-grove. 2019b. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/1138450.1138451"},{"key":"e_1_2_1_53_1","first-page":"13032","article-title":"Shape as points: A differentiable poisson solver","volume":"34","author":"Peng Songyou","year":"2021","unstructured":"Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, and Andreas Geiger. 2021. Shape as points: A differentiable poisson solver. Advances in Neural Information Processing Systems 34 (2021), 13032--13044.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480554"},{"key":"e_1_2_1_55_1","volume-title":"Accelerating 3D Deep Learning with Py-Torch3D. arXiv:2007.08501","author":"Ravi Nikhila","year":"2020","unstructured":"Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari. 2020. Accelerating 3D Deep Learning with Py-Torch3D. arXiv:2007.08501 (2020)."},{"key":"e_1_2_1_56_1","first-page":"22468","article-title":"Meshsdf: Differentiable iso-surface extraction","volume":"33","author":"Remelli Edoardo","year":"2020","unstructured":"Edoardo Remelli, Artem Lukoianov, Stephan Richter, Benoit Guillard, Timur Bagautdinov, Pierre Baque, and Pascal Fua. 2020. Meshsdf: Differentiable iso-surface extraction. Advances in Neural Information Processing Systems 33 (2020), 22468--22478.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/16.2.157"},{"key":"e_1_2_1_58_1","volume-title":"2007 6th International Asia-Pacific Symposium on Visualization. IEEE, 129--132","author":"Sakamoto Naohisa","year":"2007","unstructured":"Naohisa Sakamoto, Jorji Nonaka, Koji Koyamada, and Satoshi Tanaka. 2007. Particle-based volume rendering. In 2007 6th International Asia-Pacific Symposium on Visualization. IEEE, 129--132."},{"key":"e_1_2_1_59_1","volume-title":"An adaptive hp-version of the multilevel particle-partition of unity method. Computer methods in applied mechanics and engineering 198, 13-14","author":"Schweitzer Marc Alexander","year":"2009","unstructured":"Marc Alexander Schweitzer. 2009. An adaptive hp-version of the multilevel particle-partition of unity method. Computer methods in applied mechanics and engineering 198, 13-14 (2009), 1260--1272."},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00211-010-0346-z"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618196"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661269"},{"key":"e_1_2_1_63_1","first-page":"6087","article-title":"Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis","volume":"34","author":"Shen Tianchang","year":"2021","unstructured":"Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler. 2021. Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis. Advances in Neural Information Processing Systems 34 (2021), 6087--6101.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_64_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3592430","article-title":"Flexible isosurface extraction for gradient-based mesh optimization","volume":"42","author":"Shen Tianchang","year":"2023","unstructured":"Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, and Jun Gao. 2023. Flexible isosurface extraction for gradient-based mesh optimization. ACM Transactions on Graphics (TOG) 42, 4 (2023), 1--16.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_2_1_65_1","doi-asserted-by":"crossref","unstructured":"Towaki Takikawa Joey Litalien Kangxue Yin Karsten Kreis Charles Loop Derek Nowrouzezahrai Alec Jacobson Morgan McGuire and Sanja Fidler. 2021. Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. (2021).","DOI":"10.1109\/CVPR46437.2021.01120"},{"key":"e_1_2_1_66_1","unstructured":"Satoshi Tanaka Kyoko Hasegawa Yoshiyuki Shimokubo Tomonori Kaneko Takuma Kawamura Susumu Nakata Saori Ojima Naohisa Sakamoto Hiromi T Tanaka and Koji Koyamada. 2012. Particle-Based Transparent Rendering of Implicit Surfaces and its Application to Fused Visualization.. In EuroVis (Short Papers). 35--29."},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/1057432.1057464"},{"key":"e_1_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2013.05.044"},{"key":"e_1_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530139"},{"key":"e_1_2_1_70_1","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11390-011-9429-2","article-title":"Multi-level partition of unity algebraic point set surfaces","volume":"26","author":"Xiao Chun-Xia","year":"2011","unstructured":"Chun-Xia Xiao. 2011. Multi-level partition of unity algebraic point set surfaces. Journal of Computer Science and Technology 26, 2 (2011), 229--238.","journal-title":"Journal of Computer Science and Technology"},{"key":"e_1_2_1_71_1","volume-title":"Physgaussian: Physics-integrated 3d gaussians for generative dynamics. arXiv preprint arXiv:2311.12198","author":"Xie Tianyi","year":"2023","unstructured":"Tianyi Xie, Zeshun Zong, Yuxin Qiu, Xuan Li, Yutao Feng, Yin Yang, and Chenfanfu Jiang. 2023. Physgaussian: Physics-integrated 3d gaussians for generative dynamics. arXiv preprint arXiv:2311.12198 (2023)."},{"key":"e_1_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356513"},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/2421636.2421641"},{"key":"e_1_2_1_74_1","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.compfluid.2018.04.009","article-title":"One-layer particle level set method","volume":"170","author":"Zhao Lanhao","year":"2018","unstructured":"Lanhao Zhao, Hongvan Khuc, Jia Mao, Xunnan Liu, and Eldad Avital. 2018. One-layer particle level set method. Computers & Fluids 170 (2018), 141--156.","journal-title":"Computers & Fluids"},{"key":"e_1_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461946"},{"key":"e_1_2_1_76_1","first-page":"3D","article-title":"Thingi10K","volume":"10","author":"Zhou Qingnan","year":"2016","unstructured":"Qingnan Zhou and Alec Jacobson. 2016. Thingi10K: A Dataset of 10,000 3D-Printing Models. arXiv preprint arXiv:1605.04797 (2016).","journal-title":"A Dataset of"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3687989","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3687989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:09:58Z","timestamp":1750295398000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3687989"}},"issued":{"date-parts":[[2024,11,19]]},"references-count":76,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,12,19]]}},"alternative-id":["10.1145\/3687989"],"URL":"https:\/\/doi.org\/10.1145\/3687989","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2024,11,19]]},"assertion":[{"value":"2024-11-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:28:00Z","timestamp":1753885680442,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2015,7,27]],"date-time":"2015-07-27T00:00:00Z","timestamp":1437955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,7,27]]},"DOI":"10.1145\/3263254","type":"journal-article","created":{"date-parts":[[2020,2,5]],"date-time":"2020-02-05T01:14:10Z","timestamp":1580865250000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Session details: Simsquishal geometry"],"prefix":"10.1145","volume":"34","author":[{"given":"Keenan","family":"Crane","sequence":"first","affiliation":[{"name":"Columbia University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,7,27]]},"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3263254","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T10:59:35Z","timestamp":1750244375000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3263254"}},"issued":{"date-parts":[[2015,7,27]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,7,27]]}},"alternative-id":["10.1145\/3263254"],"URL":"https:\/\/doi.org\/10.1145\/3263254","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2015,7,27]]},"assertion":[{"value":"2015-07-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3263254"},{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T21:26:36Z","timestamp":1780435596678,"version":"3.54.1"},"reference-count":46,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2016,11,11]],"date-time":"2016-11-11T00:00:00Z","timestamp":1478822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2016,11,11]]},"abstract":"<jats:p>\n            We address the problem of autonomously exploring unknown objects in a scene by consecutive depth acquisitions. The goal is to reconstruct the scene while online identifying the objects from among a large collection of 3D shapes. Fine-grained shape identification demands a meticulous series of observations attending to varying views and parts of the object of interest. Inspired by the recent success of attention-based models for 2D recognition, we develop a\n            <jats:italic>3D Attention Model<\/jats:italic>\n            that selects the best views to scan from, as well as the most informative regions in each view to focus on, to achieve efficient object recognition. The region-level attention leads to focus-driven features which are quite robust against object occlusion. The attention model, trained with the 3D shape collection, encodes the temporal dependencies among consecutive views with deep recurrent networks. This facilitates order-aware view planning accounting for robot movement cost. In achieving instance identification, the shape collection is organized into a hierarchy, associated with pre-trained hierarchical classifiers. The effectiveness of our method is demonstrated on an autonomous robot (PR) that explores a scene and identifies the objects to construct a 3D scene model.\n          <\/jats:p>","DOI":"10.1145\/2980179.2980224","type":"journal-article","created":{"date-parts":[[2016,11,11]],"date-time":"2016-11-11T17:02:54Z","timestamp":1478883774000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["3D attention-driven depth acquisition for object identification"],"prefix":"10.1145","volume":"35","author":[{"given":"Kai","family":"Xu","sequence":"first","affiliation":[{"name":"National University of Defense Technology and Shandong University and Shenzhen University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifei","family":"Shi","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lintao","family":"Zheng","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"SIAT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen University and SIAT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Su","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Cohen-Or","sequence":"additional","affiliation":[{"name":"Tel-Aviv University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoquan","family":"Chen","sequence":"additional","affiliation":[{"name":"Shandong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,12,5]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2014.2320795"},{"key":"e_1_2_1_2_1","unstructured":"Ba J. Mnih V. and Kavukcuoglu K. 2014. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755.  Ba J. Mnih V. and Kavukcuoglu K. 2014. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755."},{"key":"e_1_2_1_3_1","unstructured":"Bansal A. Shrivastava A. Doersch C. and Gupta A. 2015. Mid-level elements for object detection. arXiv preprint arXiv:1504.07284.  Bansal A. Shrivastava A. Doersch C. and Gupta A. 2015. Mid-level elements for object detection. arXiv preprint arXiv:1504.07284."},{"key":"e_1_2_1_4_1","volume-title":"Proc. CVPR, IEEE, 1--8.","author":"Bart E.","unstructured":"Bart , E. , Porteous , I. , Perona , P. , and Welling , M . 2008. Unsupervised learning of visual taxonomies . In Proc. CVPR, IEEE, 1--8. Bart, E., Porteous, I., Perona, P., and Welling, M. 2008. Unsupervised learning of visual taxonomies. In Proc. CVPR, IEEE, 1--8."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661239"},{"key":"e_1_2_1_6_1","volume-title":"Proc. CVPR, 5556--5565","author":"Choi S.","unstructured":"Choi , S. , Zhou , Q.-Y. , and Koltun , V . 2015. Robust reconstruction of indoor scenes . In Proc. CVPR, 5556--5565 . Choi, S., Zhou, Q.-Y., and Koltun, V. 2015. Robust reconstruction of indoor scenes. In Proc. CVPR, 5556--5565."},{"key":"e_1_2_1_7_1","unstructured":"Choi S. Zhou Q.-Y. Miller S. and Koltun V. 2016. A large dataset of object scans. arXiv:1602.02481.  Choi S. Zhou Q.-Y. Miller S. and Koltun V. 2016. A large dataset of object scans. arXiv:1602.02481."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn755"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366154"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126481"},{"key":"e_1_2_1_12_1","volume-title":"Proc. CVPR, 4731--4740","author":"Gupta S.","unstructured":"Gupta , S. , Arbel\u00e1ez , P. , Girshick , R. , and Malik , J . 2015. Aligning 3d models to RGB-D images of cluttered scenes . In Proc. CVPR, 4731--4740 . Gupta, S., Arbel\u00e1ez, P., Girshick, R., and Malik, J. 2015. Aligning 3d models to RGB-D images of cluttered scenes. In Proc. CVPR, 4731--4740."},{"key":"e_1_2_1_13_1","volume-title":"Proc. CVPR.","author":"Haque A.","unstructured":"Haque , A. , Alahi , A. , and Fei-Fei , L . 2016. Recurrent attention models for depth-based person identification . In Proc. CVPR. Haque, A., Alahi, A., and Fei-Fei, L. 2016. Recurrent attention models for depth-based person identification. In Proc. CVPR."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508364"},{"key":"e_1_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Huang H. Lischinski D. Hao Z. Gong M. Christie M. and Cohen-Or D. 2016. Trip synopsis: 60km in 60sec. Computer Graphics Forum (Pacific Graphics) to appear.  Huang H. Lischinski D. Hao Z. Gong M. Christie M. and Cohen-Or D. 2016. Trip synopsis: 60km in 60sec. Computer Graphics Forum (Pacific Graphics) to appear.","DOI":"10.1111\/cgf.13008"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818097"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818116"},{"key":"e_1_2_1_19_1","volume-title":"Proc. CVPR, 5546--5555","author":"Krause J.","unstructured":"Krause , J. , Jin , H. , Yang , J. , and Fei-Fei , L . 2015. Fine-grained recognition without part annotations . In Proc. CVPR, 5546--5555 . Krause, J., Jin, H., Yang, J., and Fei-Fei, L. 2015. Fine-grained recognition without part annotations. In Proc. CVPR, 5546--5555."},{"key":"e_1_2_1_20_1","volume-title":"Proc. NIPS, 1097--1105","author":"Krizhevsky A.","unstructured":"Krizhevsky , A. , Sutskever , I. , and Hinton , G. E . 2012. ImageNet classification with deep convolutional neural networks . In Proc. NIPS, 1097--1105 . Krizhevsky, A., Sutskever, I., and Hinton, G. E. 2012. ImageNet classification with deep convolutional neural networks. In Proc. NIPS, 1097--1105."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_2_1_22_1","volume-title":"Proc. CVPR, IEEE, 3336--3343","author":"Li L.-J.","unstructured":"Li , L.-J. , Wang , C. , Lim , Y. , Blei , D. M. , and Fei-Fei , L . 2010. Building and using a semantivisual image hierarchy . In Proc. CVPR, IEEE, 3336--3343 . Li, L.-J., Wang, C., Lim, Y., Blei, D. M., and Fei-Fei, L. 2010. Building and using a semantivisual image hierarchy. In Proc. CVPR, IEEE, 3336--3343."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12573"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818071"},{"key":"e_1_2_1_25_1","volume-title":"Proc. NIPS, 2204--2212","author":"Mnih V.","year":"2014","unstructured":"Mnih , V. , Heess , N. , Graves , A. , 2014 . Recurrent models of visual attention . In Proc. NIPS, 2204--2212 . Mnih, V., Heess, N., Graves, A., et al. 2014. Recurrent models of visual attention. In Proc. NIPS, 2204--2212."},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508374"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.264"},{"key":"e_1_2_1_29_1","unstructured":"ROS 2014. ROS Wiki. http:\/\/wiki.ros.org\/.  ROS 2014. ROS Wiki. http:\/\/wiki.ros.org\/."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.178"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2015.11.003"},{"key":"e_1_2_1_32_1","volume-title":"Proc. CVPR.","author":"Song S.","unstructured":"Song , S. , and Xiao , J . 2016. Deep sliding shapes for amodal 3d object detection in rgb-d images . In Proc. CVPR. Song, S., and Xiao, J. 2016. Deep sliding shapes for amodal 3d object detection in rgb-d images. In Proc. CVPR."},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.308"},{"key":"e_1_2_1_35_1","unstructured":"Su H. Savva M. Yi L. Chang A. X. Song S. Yu F. Li Z. Xiao J. Huang Q. Savarese S. Funkhouser T. Hanrahan P. and Guibas L. J. 2015. ShapeNet: An information-rich 3d model repository. http:\/\/www.shapenet.org\/.  Su H. Savva M. Yi L. Chang A. X. Song S. Yu F. Li Z. Xiao J. Huang Q. Savarese S. Funkhouser T. Hanrahan P. and Guibas L. J. 2015. ShapeNet: An information-rich 3d model repository. http:\/\/www.shapenet.org\/."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2751556"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661242"},{"key":"e_1_2_1_40_1","volume-title":"Proc. CVPR","author":"Wu Z.","unstructured":"Wu , Z. , Song , S. , Khosla , A. , Yu , F. , Zhang , L. , Tang , X. , and Xiao , J . 2015. 3D ShapeNets: A deep representation for volumetric shapes . In Proc. CVPR , 1912--1920. Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., and Xiao, J. 2015. 3D ShapeNets: A deep representation for volumetric shapes. In Proc. CVPR, 1912--1920."},{"key":"e_1_2_1_41_1","volume-title":"Proc. CVPR, 842--850","author":"Xiao T.","unstructured":"Xiao , T. , Xu , Y. , Yang , K. , Zhang , J. , Peng , Y. , and Zhang , Z . 2015. The application of two-level attention models in deep convolutional neural network for fine-grained image classification . In Proc. CVPR, 842--850 . Xiao, T., Xu, Y., Yang, K., Zhang, J., Peng, Y., and Zhang, Z. 2015. The application of two-level attention models in deep convolutional neural network for fine-grained image classification. In Proc. CVPR, 842--850."},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461968"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818075"},{"key":"e_1_2_1_44_1","unstructured":"Xu K. Ba J. Kiros R. Courville A. Salakhutdinov R. Zemel R. and Bengio Y. 2015. Show attend and tell: Neural image caption generation with visual attention. arXiv preprint arXiv:1502.03044.  Xu K. Ba J. Kiros R. Courville A. Salakhutdinov R. Zemel R. and Bengio Y. 2015. Show attend and tell: Neural image caption generation with visual attention. arXiv preprint arXiv:1502.03044."},{"key":"e_1_2_1_45_1","volume-title":"Proc. NIPS, 1601--1608","author":"Zelnik-Manor L.","unstructured":"Zelnik-Manor , L. , and Perona , P . 2004. Self-tuning spectral clustering . In Proc. NIPS, 1601--1608 . Zelnik-Manor, L., and Perona, P. 2004. Self-tuning spectral clustering. In Proc. NIPS, 1601--1608."},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2768821"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2980179.2980224","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2980179.2980224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:22Z","timestamp":1750220602000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2980179.2980224"}},"issued":{"date-parts":[[2016,11,11]]},"references-count":46,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2016,11,11]]}},"alternative-id":["10.1145\/2980179.2980224"],"URL":"https:\/\/doi.org\/10.1145\/2980179.2980224","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2016,11,11]]},"assertion":[{"value":"2016-12-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T20:40:33Z","timestamp":1784148033263,"version":"3.55.0"},"reference-count":23,"publisher":"Association for Computing Machinery (ACM)","issue":"3","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2005,7]]},"abstract":"<jats:p>\n            As there is no hardware support neither for rendering trimmed NURBS -- the standard surface representation in CAD -- nor for T-Spline surfaces the usability of existing rendering APIs like OpenGL, where a run-time tessellation is performed on the CPU, is limited to simple scenes. Due to the irregular mesh data structures required for trimming no algorithms exists that exploit the GPU for tessellation. Therefore, recent approaches perform a pretessellation and use level-of-detail techniques. In contrast to a simple API these methods require tedious preparation of the models before rendering and hinder interactive editing. Furthermore, due to the tremendous amount of triangle data smooth zoom-ins from long shot to close-up are not possible, In this paper we show how the trimming region can be defined by a\n            <jats:italic>trim-texture<\/jats:italic>\n            that is dynamically adapted to the required resolution and allows for an efficient trimming of surfaces on the GPU. Combining this new method with GPU-based tessellation of cubic rational surfaces allows a new rendering algorithm for arbitrary trimmed NURBS and T-Spline surfaces with prescribed error in screen space on the GPU. The performance exceeds current CPU-based techniques by a factor of up to 1000 and makes real-time visualization of real-world trimmed NURBS and T-Spline models possible on consumer-level graphics cards.\n          <\/jats:p>","DOI":"10.1145\/1073204.1073305","type":"journal-article","created":{"date-parts":[[2005,11,7]],"date-time":"2005-11-07T16:00:45Z","timestamp":1131379245000},"page":"1016-1023","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":64,"title":["GPU-based trimming and tessellation of NURBS and T-Spline surfaces"],"prefix":"10.1145","volume":"24","author":[{"given":"Michael","family":"Guthe","sequence":"first","affiliation":[{"name":"Universit\u00e4t Bonn, Institute of Computer Science II"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A\u00e1kos","family":"Bal\u00e1zs","sequence":"additional","affiliation":[{"name":"Universit\u00e4t Bonn, Institute of Computer Science II"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinhard","family":"Klein","sequence":"additional","affiliation":[{"name":"Universit\u00e4t Bonn, Institute of Computer Science II"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2005,7]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.1330107"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2003.10.007"},{"key":"e_1_2_2_3_1","unstructured":"Bolz J. and Schr\u00f6der P. 2003. Evaluation of subdivision surfaces on programmable graphics hardware. submitted.  Bolz J. and Schr\u00f6der P. 2003. Evaluation of subdivision surfaces on programmable graphics hardware. submitted."},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/383507.383522"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/364338.364349"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(80)90040-4"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/280814.280864"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8396(93)90039-6"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8396(86)90005-1"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/15.1.71"},{"key":"e_1_2_2_11_1","volume-title":"Graphics Interface '90","author":"Forsey D. R."},{"key":"e_1_2_2_12_1","volume-title":"proceedings of Pacific Graphics","author":"Guthe M.","year":"2002"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/800064.801294"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/37402.37415"},{"key":"e_1_2_2_15_1","volume-title":"ACM Workshop on General Purpose Computing Using Graphics Processors (also at SIGGRAPH 2004 poster session).","author":"Kanai T."},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/253284.253313"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/97880.97916"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0334270000007451"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/74334.74344"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015715"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/378456.378510"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383533.2383553"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2003.07.001"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1073204.1073305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T13:55:22Z","timestamp":1693835722000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1073204.1073305"}},"issued":{"date-parts":[[2005,7]]},"references-count":23,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2005,7]]}},"alternative-id":["10.1145\/1073204.1073305"],"URL":"https:\/\/doi.org\/10.1145\/1073204.1073305","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2005,7]]},"assertion":[{"value":"2005-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T10:10:49Z","timestamp":1781086249568,"version":"3.54.1"},"reference-count":25,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2018,12,4]],"date-time":"2018-12-04T00:00:00Z","timestamp":1543881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2018,12,31]]},"abstract":"<jats:p>\n            We present a\n            <jats:italic>fully automatic<\/jats:italic>\n            method that finds a\n            <jats:italic>small number<\/jats:italic>\n            of\n            <jats:italic>machine fabricable<\/jats:italic>\n            wires with\n            <jats:italic>minimal overlap<\/jats:italic>\n            to reproduce a wire sculpture design as a 3D shape abstraction. Importantly, we consider\n            <jats:italic>non-planar<\/jats:italic>\n            wires, which can be fabricated by a wire bending machine, to enable efficient construction of complex 3D sculptures that cannot be achieved by previous works. We call our wires\n            <jats:italic>Eulerian wires<\/jats:italic>\n            , since they are as Eulerian as possible with small overlap to form the target design together. Finding such Eulerian wires is highly challenging, due to an enormous search space. After exploring a variety of optimization strategies, we formulate a population-based hybrid metaheuristic model, and design the join, bridge and split operators to refine the solution wire sets in the population. We start the exploration of each solution wire set in a bottom-up manner, and adopt an adaptive simulated annealing model to regulate the exploration. By further formulating a meta model on top to optimize the cooling schedule, and precomputing fabricable subwires, our method can efficiently find promising solutions with low wire count and overlap in one to two minutes. We demonstrate the efficiency of our method on a rich variety of wire sculptures, and physically fabricate several of them. Our results show clear improvements over other optimization alternatives in terms of solution quality, versatility, and scalability.\n          <\/jats:p>","DOI":"10.1145\/3272127.3275049","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T19:16:10Z","timestamp":1543432570000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Fabricable eulerian wires for 3D shape abstraction"],"prefix":"10.1145","volume":"37","author":[{"given":"Wallace","family":"Lira","sequence":"first","affiliation":[{"name":"Simon Fraser University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chi-Wing","family":"Fu","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Simon Fraser University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,12,4]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00197-7"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925911"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531339"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601106"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2982401"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818118"},{"key":"e_1_2_2_7_1","volume-title":"Algorithm Design","author":"Kleinberg Jon","unstructured":"Jon Kleinberg and Eva Tardos . 2005. Algorithm Design . Addison-Wesley Longman Publishing Co., Inc. , Boston, MA, USA . Jon Kleinberg and Eva Tardos. 2005. Algorithm Design. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA."},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073682"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2659467.2675050"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025619"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925978"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2642918.2647359"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766990"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766998"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897826.2927367"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2901790.2901828"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2776880.2792718"},{"key":"e_1_2_2_18_1","volume-title":"The Free Encyclopedia.","year":"2018","unstructured":"Wikipedia. 2018a. Beam search --- Wikipedia , The Free Encyclopedia. ( 2018 ). https:\/\/en.wikipedia.org\/wiki\/Beam_search {Online; accessed 29-May-2018}. Wikipedia. 2018a. Beam search --- Wikipedia, The Free Encyclopedia. (2018). https:\/\/en.wikipedia.org\/wiki\/Beam_search {Online; accessed 29-May-2018}."},{"key":"e_1_2_2_19_1","volume-title":"The Free Encyclopedia.","year":"2018","unstructured":"Wikipedia. 2018b. Wire sculpture --- Wikipedia , The Free Encyclopedia. ( 2018 ). https:\/\/en.wikipedia.org\/wiki\/Wire_sculpture {Online; accessed 3-January-2018}. Wikipedia. 2018b. Wire sculpture --- Wikipedia, The Free Encyclopedia. (2018). https:\/\/en.wikipedia.org\/wiki\/Wire_sculpture {Online; accessed 3-January-2018}."},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925966"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601128"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025792"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925888"},{"key":"e_1_2_2_24_1","volume-title":"Shuihua Wang, and Genlin Ji.","author":"Article","year":"2015","unstructured":"35, 4, Article 99 (July 2016) , 10 pages. Yu-Dong Zhang , Shuihua Wang, and Genlin Ji. 2015 . A Comprehensive Survey on 35, 4, Article 99 (July 2016), 10 pages. Yu-Dong Zhang, Shuihua Wang, and Genlin Ji. 2015. A Comprehensive Survey on"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2014.03.009"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3272127.3275049","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3272127.3275049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:44:04Z","timestamp":1750207444000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3272127.3275049"}},"issued":{"date-parts":[[2018,12,4]]},"references-count":25,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,12,31]]}},"alternative-id":["10.1145\/3272127.3275049"],"URL":"https:\/\/doi.org\/10.1145\/3272127.3275049","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2018,12,4]]},"assertion":[{"value":"2018-12-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T08:16:39Z","timestamp":1783066599031,"version":"3.54.6"},"reference-count":90,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:00Z","timestamp":1783036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2024-00450647"],"award-info":[{"award-number":["RS-2024-00450647"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute of Information & Communications Technology Planning & Evaluation","award":["RS-2025-25442338"],"award-info":[{"award-number":["RS-2025-25442338"]}]},{"name":"Institute of Information & Communications Technology Planning & Evaluation","award":["RS-2021-II211343"],"award-info":[{"award-number":["RS-2021-II211343"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2026,7,3]]},"abstract":"<jats:p>Collaborative human-object interaction shows dynamic and complex movements that require mutual anticipation and continuous adjustment between participants and the shared object. Understanding and modeling such collaborative multi-human object interaction (MHOI) scenarios requires high-quality data acquisition as a foundational step, however, this is a challenging task due to the inherent complexity of MHOI scenarios where human-human and human-object interactions occur simultaneously. Such complexity leads to noisy MHOI captures characterized by several artifacts: contact misalignment between hands and objects, motion jitter and temporal inconsistencies in the captured sequences, and missing or incomplete finger-level articulation details. To address these challenges, we present MOCHI (MOtion Enhancement of Collaborative Human-object Interactions), a two-stage framework for enhancing noisy MHOI data. Our approach first generates physically plausible hand grasps through optimization from noisy body input, producing grasps that are both physically plausible and semantically consistent with the body pose, where these optimized grasps are extended into complete hand-object interaction sequences. Consequently, the full-body motion for all participants are refined through a diffusion-based noise optimization framework that uses single-person motion priors. During the optimization process, we introduce optimization objectives to encode human-object and human-human interaction information within these single-person priors. Experimental results demonstrate the effectiveness of our pipeline across diverse MHOI data, either acquired by existing capture methods or synthesized by generative models. We further show robustness of our system across varying numbers of participants and types of interactions, and demonstrate various applications including keyframe-based MHOI creation and data augmentation through varying object geometries.<\/jats:p>","DOI":"10.1145\/3811308","type":"journal-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:05:51Z","timestamp":1783062351000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["MOCHI: Motion Enhancement of Collaborative Human-object Interactions"],"prefix":"10.1145","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8948-0589","authenticated-orcid":false,"given":"Jiye","family":"Lee","sequence":"first","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4395-6465","authenticated-orcid":false,"given":"Yonghun","family":"Choi","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5510-6425","authenticated-orcid":false,"given":"Jungdam","family":"Won","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,3]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Alexander William Clegg, and Karen Liu","author":"Ara\u00fajo Joao Pedro","year":"2023","unstructured":"Joao Pedro Ara\u00fajo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander William Clegg, and Karen Liu. 2023. Circle: Capture in rich contextual environments. In CVPR."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591487"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00199"},{"key":"e_1_2_1_4_1","volume-title":"Behave: Dataset and method for tracking human object interactions. In CVPR.","author":"Bhatnagar Bharat Lal","year":"2022","unstructured":"Bharat Lal Bhatnagar, Xianghui Xie, Ilya A Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll. 2022. Behave: Dataset and method for tracking human object interactions. In CVPR."},{"key":"e_1_2_1_5_1","volume-title":"Blender - a 3D modelling and rendering package","unstructured":"Blender. 2025. Blender - a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam. http:\/\/www.blender.org"},{"key":"e_1_2_1_6_1","volume-title":"Shapenet: An information-rich 3d model repository. arXiv preprint arXiv:1512.03012","author":"Chang Angel X","year":"2015","unstructured":"Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al. 2015. Shapenet: An information-rich 3d model repository. arXiv preprint arXiv:1512.03012 (2015)."},{"key":"e_1_2_1_7_1","volume-title":"Xue Bin Peng, and Michiel van de Panne","author":"Cohan Setareh","year":"2024","unstructured":"Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, and Michiel van de Panne. 2024. Flexible Motion In-betweening with Diffusion Models. arXiv preprint arXiv:2405.11126 (2024)."},{"key":"e_1_2_1_8_1","unstructured":"Yuming Du Robin Kips Albert Pumarola Sebastian Starke Ali Thabet and Artsiom Sanakoyeu. 2023. Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model. In CVPR."},{"key":"e_1_2_1_9_1","article-title":"Model predictive control with a visuomotor system for physics-based character animation","volume":"39","author":"Eom Haegwang","year":"2019","unstructured":"Haegwang Eom, Daseong Han, Joseph S Shin, and Junyong Noh. 2019. Model predictive control with a visuomotor system for physics-based character animation. ACM Trans. Graph. 39, 1 (2019).","journal-title":"ACM Trans. Graph."},{"key":"e_1_2_1_10_1","unstructured":"Jiawei Gao Ziqin Wang Zeqi Xiao Jingbo Wang Tai Wang Jinkun Cao Xiaolin Hu Si Liu Jifeng Dai and Jiangmiao Pang. 2024. CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. In NeurIPS."},{"key":"e_1_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Anindita Ghosh Rishabh Dabral Vladislav Golyanik Christian Theobalt and Philipp Slusallek. 2023. IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions. In Computer Graphics Forum.","DOI":"10.1111\/cgf.14739"},{"key":"e_1_2_1_12_1","volume-title":"European Conference on Computer Vision.","author":"Ghosh Anindita","year":"2024","unstructured":"Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek. 2024. Remos: 3d motion-conditioned reaction synthesis for two-person interactions. In European Conference on Computer Vision."},{"key":"e_1_2_1_13_1","volume-title":"Contactopt: Optimizing contact to improve grasps. In CVPR.","author":"Grady Patrick","year":"2021","unstructured":"Patrick Grady, Chengcheng Tang, Christopher D Twigg, Minh Vo, Samarth Brahmbhatt, and Charles C Kemp. 2021. Contactopt: Optimizing contact to improve grasps. In CVPR."},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Mohamed Hassan Duygu Ceylan Ruben Villegas Jun Saito Jimei Yang Yi Zhou and Michael Black. 2021. Stochastic Scene-Aware Motion Prediction. In ICCV.","DOI":"10.1109\/ICCV48922.2021.01118"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591525"},{"key":"e_1_2_1_16_1","volume-title":"Nemf: Neural motion fields for kinematic animation. NeurIPS","author":"He Chengan","year":"2022","unstructured":"Chengan He, Jun Saito, James Zachary, Holly Rushmeier, and Yi Zhou. 2022. Nemf: Neural motion fields for kinematic animation. NeurIPS (2022)."},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778770"},{"key":"e_1_2_1_18_1","volume-title":"Denoising diffusion probabilistic models. NeurIPS","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. NeurIPS (2020)."},{"key":"e_1_2_1_19_1","volume-title":"Robust solving of optical motion capture data by denoising. ACM Transactions on Graphics (TOG)","author":"Holden Daniel","year":"2018","unstructured":"Daniel Holden. 2018. Robust solving of optical motion capture data by denoising. ACM Transactions on Graphics (TOG) (2018)."},{"key":"e_1_2_1_20_1","volume-title":"Phase-functioned neural networks for character control. ACM Transactions on Graphics (TOG)","author":"Holden Daniel","year":"2017","unstructured":"Daniel Holden, Taku Komura, and Jun Saito. 2017. Phase-functioned neural networks for character control. ACM Transactions on Graphics (TOG) (2017)."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687595"},{"key":"e_1_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Nan Jiang Zhiyuan Zhang Hongjie Li Xiaoxuan Ma Zan Wang Yixin Chen Tengyu Liu Yixin Zhu and Siyuan Huang. 2024b. Scaling up dynamic human-scene interaction modeling. In CVPR.","DOI":"10.1109\/CVPR52733.2024.00171"},{"key":"e_1_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Korrawe Karunratanakul Konpat Preechakul Emre Aksan Thabo Beeler Supasorn Suwajanakorn and Siyu Tang. 2024. Optimizing diffusion noise can serve as universal motion priors. In CVPR.","DOI":"10.1109\/CVPR52733.2024.00133"},{"key":"e_1_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Korrawe Karunratanakul Konpat Preechakul Supasorn Suwajanakorn and Siyu Tang. 2023. Guided motion diffusion for controllable human motion synthesis. In ICCV.","DOI":"10.1109\/ICCV51070.2023.00205"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/2422356.2422375"},{"key":"e_1_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Jiye Lee and Hanbyul Joo. 2023. Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments. In ICCV.","DOI":"10.1109\/ICCV51070.2023.00886"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141972"},{"key":"e_1_2_1_28_1","volume-title":"GENMO: A GENeralist Model for Human MOtion. arXiv preprint arXiv:2505.01425","author":"Li Jiefeng","year":"2025","unstructured":"Jiefeng Li, Jinkun Cao, Haotian Zhang, Davis Rempe, Jan Kautz, Umar Iqbal, and Ye Yuan. 2025. GENMO: A GENeralist Model for Human MOtion. arXiv preprint arXiv:2505.01425 (2025)."},{"key":"e_1_2_1_29_1","unstructured":"Jiaman Li Alexander Clegg Roozbeh Mottaghi Jiajun Wu Xavier Puig and C. Karen Liu. 2024. Controllable human-object interaction synthesis. In ECCV."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3618333"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2007.1033"},{"key":"e_1_2_1_32_1","volume-title":"Intergen: Diffusion-based multi-human motion generation under complex interactions. IJCV","author":"Liang Han","year":"2024","unstructured":"Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu. 2024. Intergen: Diffusion-based multi-human motion generation under complex interactions. IJCV (2024)."},{"key":"e_1_2_1_33_1","volume-title":"Character controllers using motion vaes. ACM Transactions on Graphics (TOG)","author":"Ling Hung Yu","year":"2020","unstructured":"Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne. 2020. Character controllers using motion vaes. ACM Transactions on Graphics (TOG) (2020)."},{"key":"e_1_2_1_34_1","volume-title":"TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size. arXiv preprint arXiv:2603.07988","author":"Lionar Stefan","year":"2026","unstructured":"Stefan Lionar and Gim Hee Lee. 2026. TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size. arXiv preprint arXiv:2603.07988 (2026)."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1576246.1531365"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/1218064.1218093"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3757377.3763954"},{"key":"e_1_2_1_38_1","volume-title":"Synthesizing diverse and physically stable grasps with arbitrary hand structures using differentiable force closure estimator","author":"Liu Tengyu","year":"2021","unstructured":"Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, and Song-Chun Zhu. 2021. Synthesizing diverse and physically stable grasps with arbitrary hand structures using differentiable force closure estimator. IEEE Robotics and Automation Letters (2021)."},{"key":"e_1_2_1_39_1","volume-title":"Geneoh diffusion: Towards generalizable hand-object interaction denoising via denoising diffusion. arXiv preprint arXiv:2402.14810","author":"Liu Xueyi","year":"2024","unstructured":"Xueyi Liu and Li Yi. 2024. Geneoh diffusion: Towards generalizable hand-object interaction denoising via denoising diffusion. arXiv preprint arXiv:2402.14810 (2024)."},{"key":"e_1_2_1_40_1","volume-title":"Core4d: A 4d human-object-human interaction dataset for collaborative object rearrangement. arXiv preprint arXiv:2406.19353","author":"Liu Yun","year":"2024","unstructured":"Yun Liu, Chengwen Zhang, Ruofan Xing, Bingda Tang, Bowen Yang, and Li Yi. 2024. Core4d: A 4d human-object-human interaction dataset for collaborative object rearrangement. arXiv preprint arXiv:2406.19353 (2024)."},{"key":"e_1_2_1_41_1","volume-title":"CHOICE: Coordinated human-object interaction in cluttered environments for pick-and-place actions. ACM Transactions on Graphics","author":"Lu Jintao","year":"2025","unstructured":"Jintao Lu, He Zhang, Yuting Ye, Takaaki Shiratori, Sebastian Starke, and Taku Komura. 2025. CHOICE: Coordinated human-object interaction in cluttered environments for pick-and-place actions. ACM Transactions on Graphics (2025)."},{"key":"e_1_2_1_42_1","volume-title":"Luma AI: Genie. https:\/\/lumalabs.ai\/.","author":"Luma","year":"2025","unstructured":"Luma AI. 2025. Luma AI: Genie. https:\/\/lumalabs.ai\/."},{"key":"e_1_2_1_43_1","volume-title":"Omnigrasp: Grasping diverse objects with simulated humanoids. NeurIPS","author":"Luo Zhengyi","year":"2024","unstructured":"Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, and Weipeng Xu. 2024. Omnigrasp: Grasping diverse objects with simulated humanoids. NeurIPS (2024)."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392474"},{"key":"e_1_2_1_45_1","volume-title":"TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization. arXiv preprint arXiv:2503.19901","author":"Pan Liang","year":"2025","unstructured":"Liang Pan, Zeshi Yang, Zhiyang Dou, Wenjia Wang, Buzhen Huang, Bo Dai, Taku Komura, and Jingbo Wang. 2025. TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization. arXiv preprint arXiv:2503.19901 (2025)."},{"key":"e_1_2_1_46_1","volume-title":"Black","author":"Pavlakos Georgios","year":"2019","unstructured":"Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black. 2019. Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. In CVPR."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073368.1073413"},{"key":"e_1_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Davis Rempe Tolga Birdal Aaron Hertzmann Jimei Yang Srinath Sridhar and Leonidas J Guibas. 2021. Humor: 3d human motion model for robust pose estimation. In ICCV.","DOI":"10.1109\/ICCV48922.2021.01129"},{"key":"e_1_2_1_49_1","volume-title":"Hoidini: Human-object interaction through diffusion noise optimization. arXiv preprint arXiv:2506.15625","author":"Ron Roey","year":"2025","unstructured":"Roey Ron, Guy Tevet, Haim Sawdayee, and Amit H Bermano. 2025. Hoidini: Human-object interaction through diffusion noise optimization. arXiv preprint arXiv:2506.15625 (2025)."},{"key":"e_1_2_1_50_1","volume-title":"Human motion diffusion as a generative prior. arXiv preprint arXiv:2303.01418","author":"Shafir Yonatan","year":"2023","unstructured":"Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano. 2023. Human motion diffusion as a generative prior. arXiv preprint arXiv:2303.01418 (2023)."},{"key":"e_1_2_1_51_1","unstructured":"Mingyi Shi Sebastian Starke Yuting Ye Taku Komura and Jungdam Won. 2023. PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior. In ICCV."},{"key":"e_1_2_1_52_1","volume-title":"Interaction patches for multi-character animation. ACM Transactions on Graphics (TOG)","author":"Shum Hubert PH","year":"2008","unstructured":"Hubert PH Shum, Taku Komura, Masashi Shiraishi, and Shuntaro Yamazaki. 2008b. Interaction patches for multi-character animation. ACM Transactions on Graphics (TOG) (2008)."},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/1315184.1315194"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/1342250.1342271"},{"key":"e_1_2_1_55_1","volume-title":"Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502","author":"Song Jiaming","year":"2020","unstructured":"Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020. Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502 (2020)."},{"key":"e_1_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Sebastian Starke Ian Mason and Taku Komura. 2022. DeepPhase: periodic autoencoders for learning motion phase manifolds. ACM Trans. Graph. (2022).","DOI":"10.1145\/3528223.3530178"},{"key":"e_1_2_1_57_1","volume-title":"Categorical codebook matching for embodied character controllers. ACM Transactions on Graphics (TOG)","author":"Starke Sebastian","year":"2024","unstructured":"Sebastian Starke, Paul Starke, Nicky He, Taku Komura, and Yuting Ye. 2024. Categorical codebook matching for embodied character controllers. ACM Transactions on Graphics (TOG) (2024)."},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356505"},{"key":"e_1_2_1_59_1","volume-title":"Neural animation layering for synthesizing martial arts movements. ACM Transactions on Graphics (TOG)","author":"Starke Sebastian","year":"2021","unstructured":"Sebastian Starke, Yiwei Zhao, Fabio Zinno, and Taku Komura. 2021. Neural animation layering for synthesizing martial arts movements. ACM Transactions on Graphics (TOG) (2021)."},{"key":"e_1_2_1_60_1","volume-title":"Goal: Generating 4d whole-body motion for hand-object grasping. In CVPR.","author":"Taheri Omid","year":"2022","unstructured":"Omid Taheri, Vasileios Choutas, Michael J Black, and Dimitrios Tzionas. 2022. Goal: Generating 4d whole-body motion for hand-object grasping. In CVPR."},{"key":"e_1_2_1_61_1","volume-title":"GRAB: A dataset of whole-body human grasping of objects. In ECCV.","author":"Taheri Omid","year":"2020","unstructured":"Omid Taheri, Nima Ghorbani, Michael J Black, and Dimitrios Tzionas. 2020. GRAB: A dataset of whole-body human grasping of objects. In ECCV."},{"key":"e_1_2_1_62_1","volume-title":"GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency. arXiv preprint arXiv:2308.11617","author":"Taheri Omid","year":"2023","unstructured":"Omid Taheri, Yi Zhou, Dimitrios Tzionas, Yang Zhou, Duygu Ceylan, Soren Pirk, and Michael J Black. 2023. GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency. arXiv preprint arXiv:2308.11617 (2023)."},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3757377.3763934"},{"key":"e_1_2_1_64_1","volume-title":"Human motion diffusion model. arXiv preprint arXiv:2209.14916","author":"Tevet Guy","year":"2022","unstructured":"Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano. 2022. Human motion diffusion model. arXiv preprint arXiv:2209.14916 (2022)."},{"key":"e_1_2_1_65_1","doi-asserted-by":"crossref","unstructured":"Jingbo Wang Yu Rong Jingyuan Liu Sijie Yan Dahua Lin and Bo Dai. 2022b. Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis. In CVPR.","DOI":"10.1109\/CVPR52688.2022.01981"},{"key":"e_1_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Jiashun Wang Huazhe Xu Jingwei Xu Sifei Liu and Xiaolong Wang. 2021. Synthesizing long-term 3d human motion and interaction in 3d scenes. In CVPR.","DOI":"10.1109\/CVPR46437.2021.00928"},{"key":"e_1_2_1_67_1","volume-title":"Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation. arXiv preprint arXiv:2210.02697","author":"Wang Ruicheng","year":"2022","unstructured":"Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, and He Wang. 2022c. Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation. arXiv preprint arXiv:2210.02697 (2022)."},{"key":"e_1_2_1_68_1","volume-title":"Physhoi: Physics-based imitation of dynamic human-object interaction. arXiv preprint arXiv:2312.04393","author":"Wang Yinhuai","year":"2023","unstructured":"Yinhuai Wang, Jing Lin, Ailing Zeng, Zhengyi Luo, Jian Zhang, and Lei Zhang. 2023. Physhoi: Physics-based imitation of dynamic human-object interaction. arXiv preprint arXiv:2312.04393 (2023)."},{"key":"e_1_2_1_69_1","volume-title":"Humanise: Language-conditioned human motion generation in 3d scenes. NeurIPS","author":"Wang Zan","year":"2022","unstructured":"Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, and Siyuan Huang. 2022a. Humanise: Language-conditioned human motion generation in 3d scenes. NeurIPS (2022)."},{"key":"e_1_2_1_70_1","volume-title":"StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation. arXiv preprint arXiv:2505.06668","author":"Wang Ziyi","year":"2025","unstructured":"Ziyi Wang, Haipeng Li, Lin Sui, Tianhao Zhou, Hai Jiang, Lang Nie, and Shuaicheng Liu. 2025. StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation. arXiv preprint arXiv:2505.06668 (2025)."},{"key":"e_1_2_1_71_1","volume-title":"Control strategies for physically simulated characters performing two-player competitive sports. ACM Transactions on Graphics (TOG)","author":"Won Jungdam","year":"2021","unstructured":"Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2021. Control strategies for physically simulated characters performing two-player competitive sports. ACM Transactions on Graphics (TOG) (2021)."},{"key":"e_1_2_1_72_1","volume-title":"Generating and ranking diverse multi-character interactions. ACM Transactions on Graphics (TOG)","author":"Won Jungdam","year":"2014","unstructured":"Jungdam Won, Kyungho Lee, Carol O'Sullivan, Jessica K Hodgins, and Jehee Lee. 2014. Generating and ranking diverse multi-character interactions. ACM Transactions on Graphics (TOG) (2014)."},{"key":"e_1_2_1_73_1","unstructured":"Zhen Wu Jiaman Li Pei Xu and C Karen Liu. 2025. Human-object interaction from human-level instructions. In ICCV."},{"key":"e_1_2_1_74_1","unstructured":"Yiming Xie Varun Jampani Lei Zhong Deqing Sun and Huaizu Jiang. 2024. Omni-Control: Control Any Joint at Any Time for Human Motion Generation. In ICLR."},{"key":"e_1_2_1_75_1","volume-title":"Inter-x: Towards versatile human-human interaction analysis. In CVPR.","author":"Xu Liang","year":"2024","unstructured":"Liang Xu, Xintao Lv, Yichao Yan, Xin Jin, Shuwen Wu, Congsheng Xu, Yifan Liu, Yizhou Zhou, Fengyun Rao, Xingdong Sheng, et al. 2024. Inter-x: Towards versatile human-human interaction analysis. In CVPR."},{"key":"e_1_2_1_76_1","volume-title":"Learning to Ball: Composing Policies for Long-Horizon Basketball Moves. ACM Transactions on Graphics (TOG)","author":"Xu Pei","year":"2025","unstructured":"Pei Xu, Zhen Wu, Ruocheng Wang, Vishnu Sarukkai, Kayvon Fatahalian, Ioannis Karamouzas, Victor Zordan, and C Karen Liu. 2025b. Learning to Ball: Composing Policies for Long-Horizon Basketball Moves. ACM Transactions on Graphics (TOG) (2025)."},{"key":"e_1_2_1_77_1","unstructured":"Sirui Xu Zhengyuan Li Yu-Xiong Wang and Liang-Yan Gui. 2023. InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. In ICCV."},{"key":"e_1_2_1_78_1","volume-title":"Yu-Xiong Wang, and Liang-Yan Gui.","author":"Xu Sirui","year":"2025","unstructured":"Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, and Liang-Yan Gui. 2025a. Intermimic: Towards universal whole-body control for physics-based human-object interactions. arXiv preprint arXiv:2502.20390 (2025)."},{"key":"e_1_2_1_79_1","unstructured":"Vickie Ye Georgios Pavlakos Jitendra Malik and Angjoo Kanazawa. 2023. Decoupling Human and Camera Motion from Videos in the Wild. In CVPR."},{"key":"e_1_2_1_80_1","volume-title":"Synthesis of detailed hand manipulations using contact sampling. ACM Transactions on Graphics (ToG)","author":"Ye Yuting","year":"2012","unstructured":"Yuting Ye and C Karen Liu. 2012. Synthesis of detailed hand manipulations using contact sampling. ACM Transactions on Graphics (ToG) (2012)."},{"key":"e_1_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1145\/3721238.3730640"},{"key":"e_1_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459830"},{"key":"e_1_2_1_83_1","volume-title":"HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. arXiv preprint arXiv:2404.00299","author":"Zhang Juze","year":"2024","unstructured":"Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, and Jingya Wang. 2024c. HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. arXiv preprint arXiv:2404.00299 (2024)."},{"key":"e_1_2_1_84_1","volume-title":"Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, and Federica Bogo.","author":"Zhang Siwei","year":"2024","unstructured":"Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, and Federica Bogo. 2024b. RoHM: Robust Human Motion Reconstruction via Diffusion. In CVPR."},{"key":"e_1_2_1_85_1","doi-asserted-by":"crossref","unstructured":"Siwei Zhang Yan Zhang Federica Bogo Marc Pollefeys and Siyu Tang. 2021b. Learning motion priors for 4d human body capture in 3d scenes. In ICCV.","DOI":"10.1109\/ICCV48922.2021.01115"},{"key":"e_1_2_1_86_1","volume-title":"Sebastian Starke, Vladimir Guzov, and Gerard Pons-Moll.","author":"Zhang Xiaohan","year":"2022","unstructured":"Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, and Gerard Pons-Moll. 2022. COUCH: Towards Controllable Human-Chair Interactions. In ECCV."},{"key":"e_1_2_1_87_1","volume-title":"Sebastian Starke, Ilya Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo P\u00e9rez-Pellitero, and Gerard Pons-Moll.","author":"Zhang Xiaohan","year":"2024","unstructured":"Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo P\u00e9rez-Pellitero, and Gerard Pons-Moll. 2024a. FORCE: Physics-aware Human-object Interaction. arXiv preprint arXiv:2403.11237 (2024)."},{"key":"e_1_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591491"},{"key":"e_1_2_1_89_1","volume-title":"Gimo: Gaze-informed human motion prediction in context. In ECCV.","author":"Zheng Yang","year":"2022","unstructured":"Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C Karen Liu, and Leonidas J Guibas. 2022. Gimo: Gaze-informed human motion prediction in context. In ECCV."},{"key":"e_1_2_1_90_1","volume-title":"Jan Eric Lenssen, and Gerard Pons-Moll.","author":"Zhou Keyang","year":"2022","unstructured":"Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, and Gerard Pons-Moll. 2022. Toch: Spatio-temporal object-to-hand correspondence for motion refinement. In ECCV."}],"container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:27:36Z","timestamp":1783063656000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3811308"}},"issued":{"date-parts":[[2026,7,3]]},"references-count":90,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,7,3]]}},"alternative-id":["10.1145\/3811308"],"URL":"https:\/\/doi.org\/10.1145\/3811308","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2026,7,3]]},"assertion":[{"value":"2026-01-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-03-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T08:15:25Z","timestamp":1783066525595,"version":"3.54.6"},"reference-count":56,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:00Z","timestamp":1783036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["[EXC-2047\/2 390685813]"],"award-info":[{"award-number":["[EXC-2047\/2 390685813]"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["Project-ID 195170736"],"award-info":[{"award-number":["Project-ID 195170736"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2026,7,3]]},"abstract":"<jats:p>Constant mean curvature surfaces are \u00e6sthetically appealing geometric objects with applications in physics, differential geometry, and architecture. We present a straightforward discretization of constant mean curvature surfaces based on the classical observation that their Gau\u00df maps are harmonic. Our construction is elementary\u2014requiring only discrete Dirichlet energy minimization and a Poisson solve\u2014yet it exactly mirrors this aspect of the smooth theory. A discrete analog of conjugation produces discrete constant Gau\u00df curvature surfaces. Their unit offsets are discrete CMC surfaces with a conformal parameterization. Additionally, we introduce a novel M\u00f6bius-invariant discretization of the Dirichlet energy for sphere-valued maps on dual meshes that is derived from the discrete Willmore energy. It is more robust than standard formulations based on inverse cotangent weights. Our approach to the construction of constant mean curvature surfaces provides direct control over tangent planes along a boundary, if present, and naturally handles closed and periodic examples. We demonstrate the approach on a range of free-boundary, symmetric, and periodic CMC surfaces.<\/jats:p>","DOI":"10.1145\/3811370","type":"journal-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:05:51Z","timestamp":1783062351000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Constant Mean Curvature Surfaces from Discrete Harmonic Maps"],"prefix":"10.1145","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4023-5026","authenticated-orcid":false,"given":"Yousuf","family":"Soliman","sequence":"first","affiliation":[{"name":"Side Effects Software Inc, Los Angeles, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0323-7674","authenticated-orcid":false,"given":"Peter","family":"Schr\u00f6der","sequence":"additional","affiliation":[{"name":"University of Bonn, Bonn, Germany"},{"name":"California Institute of Technology, Pasadena, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2087-6435","authenticated-orcid":false,"given":"Ulrich","family":"Pinkall","sequence":"additional","affiliation":[{"name":"Technical University of Berlin, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,3]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3399732"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964921.1964997"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13797-1"},{"key":"e_1_2_1_4_1","first-page":"133","article-title":"A conformal energy for simplicial surfaces","volume":"52","author":"Bobenko Alexander","year":"2005","unstructured":"Alexander Bobenko. 2005. A conformal energy for simplicial surfaces. Comb. Comp. Geom. 52 (2005), 133\u2013143.","journal-title":"Comb. Comp. Geom."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.4310\/jdg\/1214458324"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1198555.1198664"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s002200050642"},{"key":"e_1_2_1_8_1","volume-title":"Constant mean curvature surfaces from ring patterns: Geometry from combinatorics. arXiv preprint arXiv:2410.08915","author":"Bobenko Alexander I","year":"2024","unstructured":"Alexander I Bobenko, Tim Hoffmann, and Nina Smeenk. 2024. Constant mean curvature surfaces from ring patterns: Geometry from combinatorics. arXiv preprint arXiv:2410.08915 (2024)."},{"key":"e_1_2_1_9_1","first-page":"433","article-title":"Sur une propri\u00e9t\u00e9 de maximum relative \u00e0 la sph\u00e8re","volume":"12","author":"Bonnet Ossian","year":"1853","unstructured":"Ossian Bonnet. 1853. Sur une propri\u00e9t\u00e9 de maximum relative \u00e0 la sph\u00e8re. Nouv. Ann. de Math 12 (1853), 433\u2013438.","journal-title":"Nouv. Ann. de Math"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03171.x"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/10586458.1992.10504253"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2312\/SCA03\/028-036"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13931"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-6313-5"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3658145"},{"key":"e_1_2_1_16_1","unstructured":"Keenan Crane. 2013. Conformal geometry processing. Ph.D. Dissertation. California Institute of Technology."},{"key":"e_1_2_1_17_1","volume-title":"Oberwolfach Seminars","author":"Desbrun Mathieu","unstructured":"Mathieu Desbrun, Eva Kanso, and Yiying Tong. 2008. Discrete Differential Forms for Computational Modeling. In Discrete Differential Geometry, Alexander I. Bobenko, Peter Schr\u00f6der, John M. Sullivan, and G\u00fcnther M. Ziegler (Eds.). Oberwolfach Seminars, Vol. 38. Birkh\u00e4user Verlag, 287\u2013324."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00211-005-0649-7"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","unstructured":"Ilya Eckstein Jean-Philippe Pons Yiying Tong C.-C. Jay Kuo and Mathieu Desbrun. 2007. Generalized Surface Flows for Mesh Processing. In Geometry Processing Alexander Belyaev and Michael Garland (Eds.). The Eurographics Association. 10.2312\/SGP\/SGP07\/183-192","DOI":"10.2312\/SGP\/SGP07\/183-192"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.2307\/2373037"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/0040-9383(76)90042-2"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10444-004-7611-6"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/2151237X.2007.10129230"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480522"},{"key":"e_1_2_1_25_1","volume-title":"Discrete Shells. In Proc. ACM\/SIGGRAPH Conf. 62\u201367","author":"Grinspun Eitan","year":"2003","unstructured":"Eitan Grinspun, Anil Hirani, Mathieu Desbrun, and Peter Schr\u00f6der. 2003. Discrete Shells. In Proc. ACM\/SIGGRAPH Conf. 62\u201367."},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-8330-6"},{"key":"e_1_2_1_27_1","volume-title":"Discrete CMC Surfaces and Discrete Holomorphic Maps. Discrete integrable geometry and physics 16","author":"Hoffmann Tim","year":"1999","unstructured":"Tim Hoffmann. 1999. Discrete CMC Surfaces and Discrete Holomorphic Maps. Discrete integrable geometry and physics 16 (1999), 97."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.4310\/jdg\/1214438684"},{"key":"e_1_2_1_29_1","volume-title":"Discrete minimal surfaces: Old and New. arXiv preprint arXiv:2510.23757","author":"Lam Wai Yeung","year":"2025","unstructured":"Wai Yeung Lam and Masashi Yasumoto. 2025. Discrete minimal surfaces: Old and New. arXiv preprint arXiv:2510.23757 (2025)."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.4310\/jdg\/1214434347"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","unstructured":"Dominic SP Leung. 2017. Reflection Principles for Smooth Harmonic Maps between Riemannian Manifolds and a Schwarz Reflection Principle for Harmonic and Holomorphic Maps from a Class of Hermitian Symmetric Spaces. arXiv preprint arXiv:1707.01117 (2017). 10.48550\/arXiv.1707.01117","DOI":"10.48550\/arXiv.1707.01117"},{"key":"e_1_2_1_32_1","unstructured":"Richard MacNeal. 1949. Solution of Partial Differential Equations by means of Electrical Networks. Ph.D. Dissertation. Caltech."},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00205-021-01695-8"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","unstructured":"John Neuberger. 2010. Sobolev gradients and differential equations. 10.1007\/978-3-642-04041-2","DOI":"10.1007\/978-3-642-04041-2"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","unstructured":"Bernd Oberknapp and Konrad Polthier. 1997. An algorithm for discrete constant mean curvature surfaces. In Visualization and Mathematics. 141\u2013161. 10.1007\/978-3-642-59195-2_10","DOI":"10.1007\/978-3-642-59195-2_10"},{"key":"e_1_2_1_36_1","volume-title":"Tensile Structures","author":"Otto Frei","unstructured":"Frei Otto. 1967. Pneumatic Structures. In Tensile Structures. MIT Press."},{"key":"e_1_2_1_37_1","unstructured":"Frei Otto and Bodo Rasch. 1995. Finding form: towards an architecture of the minimal."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2335436"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459939"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392446"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1080\/10586458.1993.10504266"},{"key":"e_1_2_1_42_1","volume-title":"Statique exp\u00e9rimentale et th\u00e9orique des liquides soumis aux seules forces mol\u00e9culaires","author":"Plateau Joseph","unstructured":"Joseph Plateau. 1873. Statique exp\u00e9rimentale et th\u00e9orique des liquides soumis aux seules forces mol\u00e9culaires. Vol. 2. Gauthier-Villars."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1515\/crll.2002.066"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.2003.1135"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1090\/s0002-9947-1970-0259768-5"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.2307\/1971131"},{"key":"e_1_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Eike Schling. 2018. Repetitive Structures. Ph.D. Dissertation. TU Munich.","DOI":"10.1007\/978-3-030-29829-6_29"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322979"},{"key":"e_1_2_1_49_1","unstructured":"Jeffrey David Smith. 2003. Three applications of optimization in computer graphics. Ph.D. Dissertation. Carnegie Mellon University."},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459759"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2013.07.001"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsolstr.2022.112028"},{"key":"e_1_2_1_53_1","first-page":"166","article-title":"Discrete CMC surfaces for doubly-curved building envelopes. In","author":"Tellier Xavier","year":"2018","unstructured":"Xavier Tellier, Laurent Hauswirth, Cyril Douthe, and Olivier Baverel. 2018. Discrete CMC surfaces for doubly-curved building envelopes. In Adv. Architectur. Geom. 166\u2013193.","journal-title":"Adv. Architectur. Geom."},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459781"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/1508044.1508063"},{"key":"e_1_2_1_56_1","unstructured":"Karl Weierstra\u00df. 1866. Untersuchungen \u00fcber die Fl\u00e4chen deren mittlere Kr\u00fcmmung \u00fcberall gleich Null ist."}],"container-title":["ACM Transactions on Graphics"],"language":"en","deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:17:53Z","timestamp":1783063073000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3811370"}},"issued":{"date-parts":[[2026,7,3]]},"references-count":56,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,7,3]]}},"alternative-id":["10.1145\/3811370"],"URL":"https:\/\/doi.org\/10.1145\/3811370","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2026,7,3]]},"assertion":[{"value":"2026-01-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-03-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T10:44:27Z","timestamp":1784544267958,"version":"3.55.0"},"reference-count":43,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2015,12,29]],"date-time":"2015-12-29T00:00:00Z","timestamp":1451347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61379087"],"award-info":[{"award-number":["61379087"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"European Union's Seventh Framework Programme","award":["612627"],"award-info":[{"award-number":["612627"]}]},{"name":"Knowledge Innovation Program of the Chinese Academy of Sciences"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,12,29]]},"abstract":"<jats:p>\n            Raster images are the standard format for texture mapping, but they suffer from limited resolution. Vector graphics are resolution-independent but are less general and more difficult to implement on a GPU. We propose a hybrid representation called vector regression functions (VRFs), which compactly approximate any point-sampled image and support GPU texture mapping, including random access and filtering operations. Unlike standard GPU texture compression, (VRFs) provide a variable-rate encoding in which piecewise smooth regions compress to the square root of the original size. Our key idea is to represent images using the\n            <jats:italic>multilayer perceptron<\/jats:italic>\n            , allowing general encoding via regression and efficient decoding via a simple GPU pixel shader. We also propose a content-aware spatial partitioning scheme to reduce the complexity of the neural network model. We demonstrate benefits of our method including its quality, size, and runtime speed.\n          <\/jats:p>","DOI":"10.1145\/2818996","type":"journal-article","created":{"date-parts":[[2015,12,30]],"date-time":"2015-12-30T13:13:41Z","timestamp":1451481221000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Vector Regression Functions for Texture Compression"],"prefix":"10.1145","volume":"35","author":[{"given":"Ying","family":"Song","sequence":"first","affiliation":[{"name":"Zhejiang Sci-Tech University and State key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaping","family":"Wang","sequence":"additional","affiliation":[{"name":"Aiur"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Yi","family":"Wei","sequence":"additional","affiliation":[{"name":"Dragoniac"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wencheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang Sci-Tech University and State key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,12,29]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366192"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.77"},{"key":"e_1_2_1_3_1","unstructured":"C. Dong C. C. Loy K. He and X. Tang. 2015. Image super-resolution using deep convolutional networks. CoRR abs\/1501.00092.  C. Dong C. C. Loy K. He and X. Tang. 2015. Image super-resolution using deep convolutional networks. CoRR abs\/1501.00092."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276496"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024200"},{"key":"e_1_2_1_6_1","unstructured":"R. Franzen. 1999. Kodak lossless true color image suite. http:\/\/r0k.us\/graphics\/kodak\/.  R. Franzen. 1999. Kodak lossless true color image suite. http:\/\/r0k.us\/graphics\/kodak\/."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661274"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/280814.280816"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.329697"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.1986.276672"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(89)90049-0"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508426"},{"key":"e_1_2_1_13_1","unstructured":"K. Iourcha K. Nayak and Z. Hong. 1999. System and method for fixed-rate block-based image compression with inferred pixel values. U.S. Patent 5956431 filed October 2 1997 and issued September 21 1999.  K. Iourcha K. Nayak and Z. Hong. 1999. System and method for fixed-rate block-based image compression with inferred pixel values. U.S. Patent 5956431 filed October 2 1997 and issued September 21 1999."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618463"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(98)00041-1"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1576246.1531391"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383894.2383939"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186822.1073261"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141926"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1944745.1944749"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311562"},{"key":"e_1_2_1_22_1","unstructured":"Microsoft Corporation. 2013. Directx11 bc6h\/bc7 directcompute encoder tool. https:\/\/code.msdn.microsoft.com\/windowsdesktop\/BC6HBC7-DirectCompute-35e8884a.  Microsoft Corporation. 2013. Directx11 bc6h\/bc7 directcompute encoder tool. https:\/\/code.msdn.microsoft.com\/windowsdesktop\/BC6HBC7-DirectCompute-35e8884a."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409060.1409088"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01364.x"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383795.2383812"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01989.x"},{"key":"e_1_2_1_27_1","unstructured":"Opengl Arb. 2010. Arb texture compression bptc. http:\/\/www.opengl.org\/registry\/specs\/ARB\/texture_compression_bptc.txt.  Opengl Arb. 2010. Arb texture compression bptc. http:\/\/www.opengl.org\/registry\/specs\/ARB\/texture_compression_bptc.txt."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360691"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1330511.1330514"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1342250.1342281"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2462009"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1058129.1058139"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1457515.1409106"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1071866.1071877"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276391"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601187"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185570"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2005.00881.x"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383533.2383569"},{"key":"e_1_2_1_40_1","volume-title":"The Nature of Statistical Learning Theory","author":"Vapnik V. N.","unstructured":"V. N. Vapnik . 1995. The Nature of Statistical Learning Theory . Chapter IV. Springer-Verlag New York, Inc. , New York, NY . V. N. Vapnik. 1995. The Nature of Statistical Learning Theory. Chapter IV. Springer-Verlag New York, Inc., New York, NY."},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/800059.801126"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618461"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661275"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818996","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2818996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:17Z","timestamp":1750223237000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818996"}},"issued":{"date-parts":[[2015,12,29]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,12,29]]}},"alternative-id":["10.1145\/2818996"],"URL":"https:\/\/doi.org\/10.1145\/2818996","ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"published":{"date-parts":[[2015,12,29]]},"assertion":[{"value":"2014-09-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-08-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-12-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:10:02Z","timestamp":1750270202049,"version":"3.41.0"},"reference-count":29,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[1991,1,3]],"date-time":"1991-01-03T00:00:00Z","timestamp":662860800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[1991,1,3]]},"abstract":"<jats:p>Cubic spline curves have many nice properties that make them desirable for use in comptuer graphics, and the advantages of antialiasing have been known for some years. Yet, only recently has there been any attempt at directly antialiasing spline curves. Parametric spline curves have resisted antialiasing in several ways: single segments may cross or become tangent to themselves. Cusps and small loops are easily missed entirely. Thus, short pieces of the curve cannot necessarily be rendered in isolation. Finding the distance from a pixel center to the curve accurately and efficiently\u2014usually an essential part of antialiasing\u2014is an unsolved problem. The method presented by Lien, Shantz, and Pratt [21] is a good start, although it considers pixel-length pieces of the curve  in isolation and lacks robustness in the handling of certain curves. This paper provides an improved method that is more robust, and is able to handle intersections and tangency.<\/jats:p>","DOI":"10.1145\/99902.99906","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T11:29:00Z","timestamp":1027769340000},"page":"92-108","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Drawing antialiased cubic spline curves"],"prefix":"10.1145","volume":"10","author":[{"given":"R. Victor","family":"Klassen","sequence":"first","affiliation":[{"name":"Xerox Corp., Webster, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[1991,1,3]]},"reference":[{"key":"e_1_2_1_1_2","doi-asserted-by":"publisher","DOI":"10.1145\/965103.807454"},{"volume-title":"Calif.","year":"1987","author":"BARTELS R. H.","key":"e_1_2_1_2_2"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/964965.808585"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/965139.807359"},{"volume-title":"Paris","year":"1959","author":"DECASTELJAU P.","key":"e_1_2_1_5_2"},{"volume-title":"Academic Press","year":"1988","author":"FARIN G.","key":"e_1_2_1_6_2"},{"key":"e_1_2_1_7_2","first-page":"87","volume-title":"Proceedings GI '84 {May 1984","author":"FIELD D.","year":"1984"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/964967.801143"},{"volume-title":"Mass.","year":"1983","author":"FOLEY J.","key":"e_1_2_1_9_2"},{"volume-title":"Fundamental Algorithms in Computer Graphics","year":"1985","author":"FORREST A. R.","key":"e_1_2_1_10_2"},{"key":"e_1_2_1_11_2","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/MCG.1983.263354","article-title":"Jag-free images on raster displays","volume":"3","author":"FUJIMOTO A.","year":"1983","journal-title":"IEEE Comput. Gr. AppL"},{"key":"e_1_2_1_12_2","first-page":"97","volume-title":"Proceedings of RIDT '89 (Oct. 1989","author":"GONCZAROWSKI J.","year":"1989"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/965161.806783"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8396(89)90002-2"},{"key":"e_1_2_1_15_2","doi-asserted-by":"crossref","unstructured":"KLASSEN g.V. Integer forward differencing of cubic polynomials: Analysis and algorithms. ACM Trans. Gr. (to appear). 10.1145\/108360.108364   KLASSEN g.V. Integer forward differencing of cubic polynomials: Analysis and algorithms. ACM Trans. Gr. (to appear). 10.1145\/108360.108364","DOI":"10.1145\/108360.108364"},{"volume-title":"TEX and Metafont: New Directions in Typography","year":"1979","author":"KNUTH D. E.","key":"e_1_2_1_16_2"},{"key":"e_1_2_1_17_2","unstructured":"KNUTH D.E. The METAFONTbook. Addison-Wesley Reading Mass. 1986.   KNUTH D.E. The METAFONTbook. Addison-Wesley Reading Mass. 1986."},{"key":"e_1_2_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/358808.358815"},{"key":"e_1_2_1_19_2","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/TPAMI.1980.4766968","article-title":"A theoretical development for the computer generation and display of piecewise polynomial surfaces","volume":"1","author":"LANE J.","year":"1980","journal-title":"IEEE Trans. Pattern Anal. Mach. lnteU. PAMI-2"},{"key":"e_1_2_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/965105.807509"},{"key":"e_1_2_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/37402.37416"},{"volume-title":"McGraw-Hill","year":"1979","author":"NEWMAN W. M.","key":"e_1_2_1_22_2"},{"key":"e_1_2_1_23_2","first-page":"37","volume-title":"Proceedings of the 1982 International Conference of the Chinese Language Computer Society (Sept.","author":"NI G.","year":"1982"},{"key":"e_1_2_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/359024.359027"},{"key":"e_1_2_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/964967.801153"},{"key":"e_1_2_1_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/965145.801289"},{"key":"e_1_2_1_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/357306.357309"},{"key":"e_1_2_1_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/965139.807363"},{"key":"e_1_2_1_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/964967.801144"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/99902.99906","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/99902.99906","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:44:41Z","timestamp":1750268681000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/99902.99906"}},"issued":{"date-parts":[[1991,1,3]]},"references-count":29,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1991,1,3]]}},"alternative-id":["10.1145\/99902.99906"],"URL":"https:\/\/doi.org\/10.1145\/99902.99906","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[1991,1,3]]},"assertion":[{"value":"1991-01-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:44:44Z","timestamp":1750308284882,"version":"3.41.0"},"reference-count":23,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2002,7,1]],"date-time":"2002-07-01T00:00:00Z","timestamp":1025481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2002,7]]},"abstract":"<jats:p>Analytic visibility algorithms, for example methods which compute a subdivided mesh to represent shadows, are notoriously unrobust and hard to use in practice. We present a new method based on a generalized definition of extremal stabbing lines, which are the extremities of shadow boundaries. We treat scenes containing multiple edges or vertices in degenerate configurations, (e.g., collinear or coplanar). We introduce a robust \u03b5 method to determine whether each generalized extremal stabbing line is blocked, or is touched by these scene elements, and thus added to the line's generators. We develop robust blocker predicates for polygons which are smaller than \u03b5. For larger \u03b5 values, small shadow features merge and eventually disappear. We can thus robustly connect generalized extremal stabbing lines in degenerate scenes to form shadow boundaries. We show that our approach is consistent, and that shadow boundary connectivity is preserved when features merge. We have implemented our algorithm, and show that we can robustly compute analytic shadow boundaries to the precision of our chosen \u03b5 threshold for non-trivial models, containing numerous degeneracies.<\/jats:p>","DOI":"10.1145\/566654.566618","type":"journal-article","created":{"date-parts":[[2002,10,7]],"date-time":"2002-10-07T13:52:47Z","timestamp":1033998767000},"page":"567-575","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Robust epsilon visibility"],"prefix":"10.1145","volume":"21","author":[{"given":"Florent","family":"Duguet","sequence":"first","affiliation":[{"name":"REVES - INRIA Sophia-Antipolis, France and Ecole Nationale Sup\u00e9rieure des T\u00e9l\u00e9communications (ENST), Paris"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Drettakis","sequence":"additional","affiliation":[{"name":"REVES - INRIA Sophia-Antipolis, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2002,7]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"375","volume-title":"ACM SIGGRAPH 2000, Annual Conference Series","author":"Agrawala M.","year":"2000","unstructured":"M. Agrawala , R. Ramamoorthi , A. Heirich , and L. Moll . Efficient image-based methods for rendering soft shadows . In ACM SIGGRAPH 2000, Annual Conference Series , pages 375 - 384 , July 2000 . 10.1145\/344779.344954 M. Agrawala, R. Ramamoorthi, A. Heirich, and L. Moll. Efficient image-based methods for rendering soft shadows. In ACM SIGGRAPH 2000, Annual Conference Series, pages 375-384, July 2000. 10.1145\/344779.344954"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/336414.336417"},{"key":"e_1_2_1_3_1","volume-title":"Computer Graphics (Proc. SIGGRAPH '90)","author":"Campbell A. T.","year":"1990","unstructured":"A. T. Campbell , III and D. S. Fussell . Adaptive mesh generation for global diffuse illumination . Computer Graphics (Proc. SIGGRAPH '90) , 24:155-164, August 1990 . 10.1145\/97880.97896 A. T. Campbell, III and D. S. Fussell. Adaptive mesh generation for global diffuse illumination. Computer Graphics (Proc. SIGGRAPH '90), 24:155-164, August 1990. 10.1145\/97880.97896"},{"key":"e_1_2_1_4_1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1145\/147156.147159","volume-title":"Computer Graphics (1992 Symposium on Interactive 3D Graphics)","volume":"25","author":"Chin N.","year":"1992","unstructured":"N. Chin and S. Feiner . Fast object-precision shadow generation for areal light sources using BSP trees . In Computer Graphics (1992 Symposium on Interactive 3D Graphics) , volume 25 , pages 21 - 30 , March 1992 . 10.1145\/147156.147159 N. Chin and S. Feiner. Fast object-precision shadow generation for areal light sources using BSP trees. In Computer Graphics (1992 Symposium on Interactive 3D Graphics), volume 25, pages 21-30, March 1992. 10.1145\/147156.147159"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/563858.563901"},{"key":"e_1_2_1_6_1","first-page":"223","volume-title":"Annual Conference Series","author":"Drettakis G.","year":"1994","unstructured":"G. Drettakis and E. Fiume . A fast shadow algorithm for area light sources using back projection. In ACM SIGGRAPH 94 , Annual Conference Series , pages 223 - 230 , July 1994 . 10.1145\/192161.192207 G. Drettakis and E. Fiume. A fast shadow algorithm for area light sources using back projection. In ACM SIGGRAPH 94, Annual Conference Series, pages 223-230, July 1994. 10.1145\/192161.192207"},{"key":"e_1_2_1_7_1","volume-title":"Computer Graphics (Proc. SIGGRAPH'92)","author":"Duff T.","year":"1992","unstructured":"T. Duff . Interval arithmetic and recursive subdivision for implicit functions and constructive solid geometry . Computer Graphics (Proc. SIGGRAPH'92) , 26(2):131-138, July 1992 . 10.1145\/142920.134027 T. Duff. Interval arithmetic and recursive subdivision for implicit functions and constructive solid geometry. Computer Graphics (Proc. SIGGRAPH'92), 26(2):131-138, July 1992. 10.1145\/142920.134027"},{"key":"e_1_2_1_9_1","volume-title":"Annual Conference Series","author":"Durand F.","year":"1997","unstructured":"F. Durand , G. Drettakis , and C. Puech . The Visibility Skeleton: A Powerful and Efficient Multi-Purpose Global Visibility Tool. In ACM SIGGRAPH 97 (Los Angeles, CA) , Annual Conference Series , August 1997 . 10.1145\/258734.258785 F. Durand, G. Drettakis, and C. Puech. The Visibility Skeleton: A Powerful and Efficient Multi-Purpose Global Visibility Tool. In ACM SIGGRAPH 97 (Los Angeles, CA), Annual Conference Series, August 1997. 10.1145\/258734.258785"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/318009.318012"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.44399"},{"key":"e_1_2_1_12_1","first-page":"122","volume-title":"Photorealistic Rendering in Comp. Graphics","author":"Haines E. A.","year":"1993","unstructured":"E. A. Haines . Shaft culling for efficient ray-traced radiosity . In Photorealistic Rendering in Comp. Graphics , pages 122 - 138 . Springer Verlag , 1993 . Proc. 2nd EG Workshop on Rendering (Barcelona, 1991). E. A. Haines. Shaft culling for efficient ray-traced radiosity. In Photorealistic Rendering in Comp. Graphics, pages 122-138. Springer Verlag, 1993. Proc. 2nd EG Workshop on Rendering (Barcelona, 1991)."},{"key":"e_1_2_1_13_1","volume-title":"Proc. Third Eurographics Workshop on Rendering","author":"Heckbert P.","year":"1992","unstructured":"P. Heckbert . Discontinuity meshing for radiosity . Proc. Third Eurographics Workshop on Rendering , Bristol, pages 203-226, May 1992 . P. Heckbert. Discontinuity meshing for radiosity. Proc. Third Eurographics Workshop on Rendering, Bristol, pages 203-226, May 1992."},{"issue":"4","key":"e_1_2_1_14_1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/BF00337644","article-title":"The internal representation of solid shape with respect to vision","volume":"32","author":"Koenderink J. J.","year":"1979","unstructured":"J. J. Koenderink and A. J. van Doorn . The internal representation of solid shape with respect to vision . Biological Cybernetics , 32 ( 4 ): 211 - 216 , 1979 . J. J. Koenderink and A. J. van Doorn. The internal representation of solid shape with respect to vision. Biological Cybernetics, 32(4):211-216, 1979.","journal-title":"Biological Cybernetics"},{"key":"e_1_2_1_15_1","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/978-3-7091-6303-0_9","volume-title":"11th Eurographics Workshop on Rendering 2000","author":"Leblanc L.","year":"2000","unstructured":"L. Leblanc and P. Poulin . Guaranteed occlusion and visibility in cluster hierarchical radiosity. In Rendering Techniques 2000, (Proc . 11th Eurographics Workshop on Rendering 2000 ), pages 89 - 100 , June 2000 . L. Leblanc and P. Poulin. Guaranteed occlusion and visibility in cluster hierarchical radiosity. In Rendering Techniques 2000, (Proc. 11th Eurographics Workshop on Rendering 2000), pages 89-100, June 2000."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.163622"},{"key":"e_1_2_1_17_1","unstructured":"nvidia. webpage. http:\/\/developer.nvidia.com\/view.asp?IO=cedec_stencil.  nvidia. webpage. http:\/\/developer.nvidia.com\/view.asp?IO=cedec_stencil."},{"key":"e_1_2_1_18_1","volume-title":"Annual Symposium on Computational Geometry","author":"Salesin D.","year":"1989","unstructured":"D. Salesin , L. Guibas , and J. Stolfi . Epsilon geometry: Building robust algorithms from imprecise computations . In Annual Symposium on Computational Geometry , 1989 . Saarbrucken, West Germany. 10.1145\/73833.73857 D. Salesin, L. Guibas, and J. Stolfi. Epsilon geometry: Building robust algorithms from imprecise computations. In Annual Symposium on Computational Geometry, 1989. Saarbrucken, West Germany. 10.1145\/73833.73857"},{"key":"e_1_2_1_19_1","volume-title":"Computer Graphics (Proc. SIGGRAPH'92)","author":"Snyder J. M.","year":"1992","unstructured":"J. M. Snyder . Interval analysis for computer graphics . Computer Graphics (Proc. SIGGRAPH'92) , 26(2):121-130, July 1992 . 10.1145\/142920.134024 J. M. Snyder. Interval analysis for computer graphics. Computer Graphics (Proc. SIGGRAPH'92), 26(2):121-130, July 1992. 10.1145\/142920.134024"},{"key":"e_1_2_1_20_1","volume-title":"ACM SIGGRAPH'98","author":"Soler C.","year":"1998","unstructured":"C. Soler and F. X. Sillion . Fast calculation of soft shadow textures using convolution . In ACM SIGGRAPH'98 , Annual Conference Series, pages 321-332, Jul 1998 . 10.1145\/280814.280927 C. Soler and F. X. Sillion. Fast calculation of soft shadow textures using convolution. In ACM SIGGRAPH'98, Annual Conference Series, pages 321-332, Jul 1998. 10.1145\/280814.280927"},{"key":"e_1_2_1_21_1","first-page":"231","volume-title":"Annual Conference Series","author":"Stewart A. J.","year":"1994","unstructured":"A. J. Stewart and S. Ghali . Fast computation of shadow boundaries using spatial coherence and backprojections. In ACM SIGGRAPH 94 , Annual Conference Series , pages 231 - 238 , July 1994 . 10.1145\/192161.192210 A. J. Stewart and S. Ghali. Fast computation of shadow boundaries using spatial coherence and backprojections. In ACM SIGGRAPH 94, Annual Conference Series, pages 231-238, July 1994. 10.1145\/192161.192210"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/142920.134029"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/563858.563896"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/800248.807402"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/566654.566618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/566654.566618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:24:30Z","timestamp":1750267470000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/566654.566618"}},"issued":{"date-parts":[[2002,7]]},"references-count":23,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2002,7]]}},"alternative-id":["10.1145\/566654.566618"],"URL":"https:\/\/doi.org\/10.1145\/566654.566618","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2002,7]]},"assertion":[{"value":"2002-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]},{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:16:35Z","timestamp":1750306595002,"version":"3.41.0"},"reference-count":49,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T00:00:00Z","timestamp":1446508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology of Taiwan","doi-asserted-by":"crossref","award":["NSC100-2221-E-155-078, NSC101-2221-E-155-065, and MOST103-2221-E-155-031"],"award-info":[{"award-number":["NSC100-2221-E-155-078, NSC101-2221-E-155-065, and MOST103-2221-E-155-031"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,11,3]]},"abstract":"<jats:p>\n            This article presents a generalized sparse multilinear model, namely\n            <jats:italic>multiway K-clustered tensor approximation<\/jats:italic>\n            (MK-CTA), for synthesizing photorealistic 3D images from large-scale multidimensional visual datasets. MK-CTA extends previous tensor approximation algorithms, particularly\n            <jats:italic>K-clustered tensor approximation<\/jats:italic>\n            (K-CTA) [Tsai and Shih 2012], to partition a multidimensional dataset along more than one dimension into overlapped clusters. On the contrary, K-CTA only sparsely clusters a dataset along just one dimension and often fails to efficiently approximate other unclustered dimensions. By generalizing K-CTA with multiway sparse clustering, MK-CTA can be regarded as a novel sparse tensor-based model that simultaneously exploits the intra- and inter-cluster coherence among different dimensions of an input dataset. Our experiments demonstrate that MK-CTA can accurately and compactly represent various multidimensional datasets with complex and sharp visual features, including\n            <jats:italic>bidirectional texture functions<\/jats:italic>\n            (BTFs) [Dana et al. 1999],\n            <jats:italic>time-varying light fields<\/jats:italic>\n            (TVLFs) [Bando et al. 2013], and\n            <jats:italic>time-varying volume data<\/jats:italic>\n            (TVVD) [Wang et al. 2010], while easily achieving high rendering rates in practical graphics applications.\n          <\/jats:p>","DOI":"10.1145\/2753756","type":"journal-article","created":{"date-parts":[[2015,11,5]],"date-time":"2015-11-05T16:19:01Z","timestamp":1446740341000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Multiway K-Clustered Tensor Approximation"],"prefix":"10.1145","volume":"34","author":[{"given":"Yu-Ting","family":"Tsai","sequence":"first","affiliation":[{"name":"Yuan Ze University, Taoyuan City, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1857907.1857911"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12280"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2451236.2451239"},{"volume-title":"Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07)","year":"2007","author":"Banerjee Arindam","key":"e_1_2_2_5_1"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102357"},{"key":"e_1_2_2_7_1","unstructured":"Thomas Blumensath and Mike E. Davies. 2007. On the difference between orthogonal matching pursuit and orthogonal least squares. http:\/\/eprints.soton.ac.uk\/142469\/1\/BDOMPvsOLS07.pdf.  Thomas Blumensath and Mike E. Davies. 2007. On the difference between orthogonal matching pursuit and orthogonal least squares. http:\/\/eprints.soton.ac.uk\/142469\/1\/BDOMPvsOLS07.pdf."},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/300776.300778"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02678430"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479898346995"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/280814.280864"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2037655"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/383507.383515"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.246"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2007.70516"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03124.x"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237200"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/601671.601726"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2008.01248.x"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01585.x"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"volume-title":"Proceedings of the 3rd International Workshop on Texture Analysis and Synthesis (Texture'03)","year":"2003","author":"Koudelka Melissa Linae","key":"e_1_2_2_22_1"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/1081432.1081482"},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2006.270"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237199"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2002.1021580"},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1477926.1477929"},{"key":"e_1_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1561\/0600000021"},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01495.x"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2003.1250385"},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.46"},{"key":"e_1_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744085_46"},{"key":"e_1_2_2_33_1","unstructured":"Heung-Yeung Shum Shing-Chow Chan and Sing Bing Kang. 2007. Image Based Rendering. Springer.   Heung-Yeung Shum Shing-Chow Chan and Sing Bing Kang. 2007. Image Based Rendering. Springer."},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2238606"},{"key":"e_1_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2025663"},{"key":"e_1_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.58"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276411"},{"key":"e_1_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.214"},{"key":"e_1_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12102"},{"key":"e_1_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.211"},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141981"},{"key":"e_1_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2167076.2167077"},{"key":"e_1_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015725"},{"key":"e_1_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2010.3"},{"key":"e_1_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073224"},{"key":"e_1_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964990"},{"key":"e_1_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185576"},{"key":"e_1_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2044470"},{"key":"e_1_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2007.70406"}],"container-title":["ACM Transactions on Graphics"],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2753756","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2753756","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:16:39Z","timestamp":1750227399000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2753756"}},"subtitle":["Toward High-Performance Photorealistic Data-Driven Rendering"],"issued":{"date-parts":[[2015,11,3]]},"references-count":49,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,11,3]]}},"alternative-id":["10.1145\/2753756"],"URL":"https:\/\/doi.org\/10.1145\/2753756","ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"published":{"date-parts":[[2015,11,3]]},"assertion":[{"value":"2014-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-03-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}],"items-per-page":20,"query":{"start-index":0,"search-terms":null}}}