{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T20:49:15Z","timestamp":1782334155515,"version":"3.54.5"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tvcg.2026.3685664","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T20:03:58Z","timestamp":1776715438000},"page":"6610-6622","source":"Crossref","is-referenced-by-count":0,"title":["UGD: An Unsupervised Geometric Distance for Evaluating Real-World Noisy Point Cloud Denoising"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9483-5268","authenticated-orcid":false,"given":"Zhiyong","family":"Su","sequence":"first","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5346-1863","authenticated-orcid":false,"given":"Jincan","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanke","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2285-6649","authenticated-orcid":false,"given":"Yonghui","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1929-3654","authenticated-orcid":false,"given":"Weiqing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3263866"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3355988"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2024.103812"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2022.101140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX48832.2020.9123087"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2010.2060475"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296925"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6487-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3027069"},{"key":"ref11","first-page":"23937","article-title":"Evaluating unsupervised denoising requires unsupervised metrics","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Marcos-Morales","year":"2023"},{"issue":"4","key":"ref12","first-page":"3","article-title":"Perceptual quality assessment for point clouds: A survey","volume":"21","author":"Zhou","year":"2023","journal-title":"ZTE Commun."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3100282"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02451"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2024.2398228"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3450699"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01958"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01300"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2003.1175093"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073227"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01388.x"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276405"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618522"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601172"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13343"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13753"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14661"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3113463"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00454"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20062-5_23"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00551"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413727"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-024-0423-3"},{"key":"ref34","volume-title":"Evaluation Criteria for PCC (Point Cloud Compression)","author":"Mekuria","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486512"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2017.8026263"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00236"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101484"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456252"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3047083"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3167151"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3338359"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3468893"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3024065"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3264105"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02050"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3643817"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3550274"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3282802"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3407698"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/192161.192241"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref53","first-page":"5099","article-title":"PointNet : Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. 31th Int. Conf. Neural Inf. Process. Syst.","author":"Qi","year":"2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.2307\/2984875"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3033117"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803298"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3096060"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3177926"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708503"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.118"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2894958"},{"key":"ref64","first-page":"794","article-title":"GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2018"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2017.8122237"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02076"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2015.03.004"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/2945\/11575570\/11488471.pdf?arnumber=11488471","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T19:50:30Z","timestamp":1782330630000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11488471\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":68,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2026.3685664","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":[[2026,7]]}}}