{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:27:17Z","timestamp":1773779237204,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong Research Grants Council","award":["9048148 (CityU 21209119)"],"award-info":[{"award-number":["9048148 (CityU 21209119)"]}]},{"name":"Shenzhen Basic Research General Program","award":["JCYJ20190814112007258"],"award-info":[{"award-number":["JCYJ20190814112007258"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2022,9,1]]},"DOI":"10.1109\/tvcg.2021.3058311","type":"journal-article","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T09:38:25Z","timestamp":1612949905000},"page":"3206-3218","source":"Crossref","is-referenced-by-count":86,"title":["Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5121-8040","authenticated-orcid":false,"given":"Shuquan","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4642-4373","authenticated-orcid":false,"given":"Dongdong","family":"Chen","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]},{"given":"Songfang","family":"Han","sequence":"additional","affiliation":[{"name":"University of California, San Diego, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2421-3484","authenticated-orcid":false,"given":"Ziyu","family":"Wan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7014-5377","authenticated-orcid":false,"given":"Jing","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0903-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/2945.817351"},{"key":"ref30","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00167"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276405"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref13","first-page":"5099","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1109\/TVCG.2019.2934332","article-title":"LassoNet: Deep lasso-selection of 3D point clouds","volume":"26","author":"chen","year":"2020","journal-title":"IEEE Trans Vis Comput Graphics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2848628"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2920817"},{"key":"ref17","first-page":"398","article-title":"EC-Net: An edge-aware point set consolidation network","author":"yu","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref18","first-page":"2672","article-title":"Generative adversarial Nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref19","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref28","first-page":"2681","article-title":"Interpolating between optimal transport and MMD using sinkhorn divergences","author":"feydy","year":"2019","journal-title":"Proc 22nd Int Conf Artif Intell Statist"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00295"},{"key":"ref27","article-title":"Learn2learn: A Library for meta-learning research","author":"arnold","year":"0"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"176:1","DOI":"10.1145\/2816795.2818073","article-title":"Deep points consolidation","volume":"34","author":"wu","year":"2015","journal-title":"ACM Trans Graph"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00730"},{"key":"ref29","first-page":"1","article-title":"Edge-aware point set resampling","volume":"32","author":"huang","year":"2013","journal-title":"ACM Trans Graph"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00611"},{"key":"ref8","first-page":"442","article-title":"Decouple learning for parameterized image operators","author":"fan","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","article-title":"Point cloud super resolution with adversarial residual graph networks","author":"wu","year":"2019"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"176:1","DOI":"10.1145\/1618452.1618522","article-title":"Consolidation of unorganized point clouds for surface reconstruction","volume":"28","author":"huang","year":"2009","journal-title":"ACM Trans Graph"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2925793"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2003.1175093"},{"key":"ref20","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","author":"andrychowicz","year":"2016","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref22","first-page":"320","article-title":"MetaAnchor: Learning to detect objects with customized anchors","author":"yang","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref21","first-page":"1","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3009844"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00445"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-013-9406-y"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00339"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/9844883\/09351772.pdf?arnumber=9351772","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T23:49:10Z","timestamp":1724456950000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9351772\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"references-count":33,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2021.3058311","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,1]]}}}