{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T16:33:37Z","timestamp":1791995617059,"version":"4.4.0"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2022YFF0902400"],"award-info":[{"award-number":["2022YFF0902400"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071449"],"award-info":[{"award-number":["62071449"]}],"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":["62025101"],"award-info":[{"award-number":["62025101"]}],"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":["U20A20184"],"award-info":[{"award-number":["U20A20184"]}],"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":["62088102"],"award-info":[{"award-number":["62088102"]}],"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":["61931014"],"award-info":[{"award-number":["61931014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["E2ET1104"],"award-info":[{"award-number":["E2ET1104"]}],"id":[{"id":"10.13039\/501100012226","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":[[2024,8]]},"DOI":"10.1109\/tpami.2024.3368567","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T19:34:59Z","timestamp":1708630499000},"page":"5820-5834","source":"Crossref","is-referenced-by-count":7,"title":["Pose-Driven Compression for Dynamic 3D Human via Human Prior Models"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4570-5402","authenticated-orcid":false,"given":"Ruoke","family":"Yan","sequence":"first","affiliation":[{"name":"National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9448-1639","authenticated-orcid":false,"given":"Qian","family":"Yin","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7517-3868","authenticated-orcid":false,"given":"Xinfeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of the Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1189-8755","authenticated-orcid":false,"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0418-0689","authenticated-orcid":false,"given":"Gai","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of the Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2731-5403","authenticated-orcid":false,"given":"Siwei","family":"Ma","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.582"},{"key":"ref2","article-title":"G-PCC test model v19","year":"2022"},{"key":"ref3","article-title":"V-PCC test model v19","year":"2022"},{"key":"ref4","article-title":"Point cloud compression reference software"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3129071"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803413"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3051377"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3100279"},{"key":"ref10","article-title":"Deep autoencoder-based lossy geometry compression for point clouds","author":"Yan","year":"1905"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351061"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/126"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3343096"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2529506"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2985911"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DCC50243.2021.00015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3552457.3555726"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00139"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19942"},{"key":"ref22","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi"},{"key":"ref23","first-page":"5105","article-title":"PointNet: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Qi"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224647"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296514"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2707807"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2931621"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414731"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9180753"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859831"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00291"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00650"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19769-7_19"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref39","first-page":"3789","article-title":"Implicit geometric regularization for learning shapes","author":"Gropp","year":"2020","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref40","first-page":"4475","article-title":"Optimal brain compression: A framework for accurate post-training quantization and pruning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Frantar"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JRPROC.1952.273898"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01125"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_19"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00124"},{"key":"ref45","first-page":"10794","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Minnen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00513"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19769-7_19"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00569"},{"key":"ref49","article-title":"Owlii dynamic human textured mesh sequence dataset","author":"Xu","year":"2017"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01079"},{"key":"ref51","article-title":"TMC2 software repository","year":"2022"},{"key":"ref52","article-title":"TMC13 software repository","year":"2022"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.859378"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045810"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref56","first-page":"61","article-title":"Poisson surface reconstruction","volume-title":"Proc. 4th Eurograph. Symp. Geometry Process.","author":"Kazhdan"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3198995"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475569"},{"key":"ref59","first-page":"38571","article-title":"ViTPose: Simple vision transformer baselines for human pose estimation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref60","article-title":"Coco keypoints evaluation","year":"2016"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10582780\/10443540.pdf?arnumber=10443540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T04:43:36Z","timestamp":1720241016000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10443540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":60,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3368567","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":[[2024,8]]}}}