{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T03:03:45Z","timestamp":1779678225358,"version":"3.53.1"},"reference-count":34,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"vor","delay-in-days":23,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer Animation &amp;amp; Virtual"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Self\u2010collision handling remains a fundamental and long\u2010standing challenge in neural cloth simulation, particularly for loose garments with complex topologies. We propose a self\u2010supervised neural cloth simulation framework that integrates Gaussian mixture skinning (GMS) with a differentiable collision\u2010overlap loss to significantly enhance physical plausibility and visual realism. We employ continuous and spatially smooth GMS weights to model vertex\u2010skeleton coupling, enabling stable deformations under large body motions. To explicitly address cloth self\u2010collisions, we introduce a differentiable spatial repulsion constraint that suppresses interpenetration and layer\u2010overlap artifacts. The proposed objective is jointly optimized with physics\u2010inspired losses, enabling the network to learn consistent cloth dynamics without relying on ground\u2010truth physical simulations. Experimental results demonstrate improved temporal stability, reduced collision artifacts, and stronger generalization compared to existing self\u2010supervised methods.<\/jats:p>","DOI":"10.1002\/cav.70125","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T02:40:21Z","timestamp":1779676821000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CPSN: Collision\u2010Overlap and Physics\u2010Based Self\u2010Supervised Neural Cloth Simulation"],"prefix":"10.1002","volume":"37","author":[{"given":"Tao","family":"Peng","sequence":"first","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0769-6798","authenticated-orcid":false,"given":"Zhi","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6895-2898","authenticated-orcid":false,"given":"Xianfang","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinrong","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence Wuhan Textile University  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,24]]},"reference":[{"issue":"6","key":"e_1_2_11_2_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2366145.2366171","article-title":"Adaptive Anisotropic Remeshing for Cloth Simulation","volume":"31","author":"Narain R.","year":"2012","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_2_11_3_1","first-page":"809","volume-title":"Computer Graphics Forum","author":"Nealen A.","year":"2006"},{"issue":"1","key":"e_1_2_11_4_1","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1145\/3503250","article-title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis","volume":"65","author":"Mildenhall B.","year":"2021","journal-title":"Communications of the ACM"},{"issue":"4","key":"e_1_2_11_5_1","doi-asserted-by":"crossref","DOI":"10.1145\/3592433","article-title":"3D Gaussian Splatting for Real\u2010Time Radiance Field Rendering","volume":"42","author":"Kerbl B.","year":"2023","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_2_11_6_1","first-page":"652","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Qi C. 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