{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:30:59Z","timestamp":1776180659120,"version":"3.50.1"},"reference-count":89,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2022YFC3800600"],"award-info":[{"award-number":["2022YFC3800600"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272263"],"award-info":[{"award-number":["62272263"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072268"],"award-info":[{"award-number":["62072268"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tpami.2024.3392364","type":"journal-article","created":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T17:37:08Z","timestamp":1713807428000},"page":"7475-7492","source":"Crossref","is-referenced-by-count":27,"title":["CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization"],"prefix":"10.1109","volume":"46","author":[{"given":"Junsheng","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7229-2386","authenticated-orcid":false,"given":"Baorui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"given":"Shujuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7305-1915","authenticated-orcid":false,"given":"Yu-Shen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-3883","authenticated-orcid":false,"given":"Yi","family":"Fang","sequence":"additional","affiliation":[{"name":"Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9540-9973","authenticated-orcid":false,"given":"Zhizhong","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Wayne State University, Detroit, MI, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00604"},{"key":"ref3","article-title":"Deep level sets: Implicit surface representations for 3D shape inference","author":"Michalkiewicz","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00105"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/37402.37422"},{"key":"ref10","first-page":"21638","article-title":"Neural unsigned distance fields for implicit function learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chibane"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01244"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01242"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/2945.817351"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00264"},{"key":"ref15","first-page":"3789","article-title":"Implicit geometric regularization for learning shapes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gropp"},{"key":"ref16","article-title":"SALD: Sign agnostic learning with derivatives","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Atzmon"},{"key":"ref17","first-page":"7246","article-title":"Neural-pull: Learning signed distance function from point clouds by learning to pull space onto surface","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ma"},{"key":"ref18","first-page":"16481","article-title":"Learning consistency-aware unsigned distance functions progressively from raw point clouds","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00619"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/3DV57658.2022.00055"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/174462.156635"},{"key":"ref23","first-page":"61","article-title":"Poisson surface reconstruction","volume-title":"Proc. 4th Eurographics Symp. Geometry Process.","author":"Kazhdan"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487237"},{"key":"ref25","article-title":"Uni3D: Exploring unified 3D representation at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhou"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3182266"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00378"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00133"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6734"},{"key":"ref30","article-title":"Self-supervised point cloud representation learning with occlusion auto-encoder","author":"Zhou","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3159003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3217161"},{"key":"ref33","first-page":"51166","article-title":"Differentiable registration of images and LiDAR point clouds with voxelpoint-to-pixel matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01250"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20062-5_19"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01224"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3018865"},{"key":"ref38","first-page":"27171","article-title":"NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00554"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01577"},{"key":"ref41","first-page":"1966","article-title":"HF-NeuS: Improved surface reconstruction using high-frequency details","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.28005"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00295"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2023.06.016"},{"key":"ref45","article-title":"GeoDream: Disentangling 2D and geometric priors for high-fidelity and consistent 3D generation","author":"Ma","year":"2023"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_36"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00183"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/3DV50981.2020.00110"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459785"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00491"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00725"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_18"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00700"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00622"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00621"},{"key":"ref56","first-page":"13032","article-title":"Shape as points: A differentiable poisson solver","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Peng"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00044"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00620"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01249"},{"key":"ref60","article-title":"RangeUDF: Semantic surface reconstruction from 3D point clouds","author":"Wang","year":"2022"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20062-5_33"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1017\/S0017089500002135"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3618314"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_2"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25224"},{"key":"ref66","first-page":"4218","article-title":"HSurf-Net: Normal estimation for 3D point clouds by learning hyper surfaces","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01035"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459835"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00552"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01037"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392415"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461919"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3054739"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00494"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref76","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sitzmann"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13343"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2004.09.004"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12983"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01126"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3309253"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00295"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01300"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00730"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i4.28102"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555457"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10746266\/10506631.pdf?arnumber=10506631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:06:18Z","timestamp":1732665978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10506631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":89,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3392364","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}