{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T17:36:19Z","timestamp":1718991379438},"reference-count":36,"publisher":"Wiley","issue":"3-4","license":[{"start":{"date-parts":[[2023,5,14]],"date-time":"2023-05-14T00:00:00Z","timestamp":1684022400000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972160","62171145"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer Animation & Virtual"],"published-print":{"date-parts":[[2023,5]]},"abstract":"Abstract<\/jats:title>For 3D mesh pose transfer, the target model is obtained by transferring the pose of the reference mesh to the source mesh, where the shape and pose of the source are usually different from that of the reference. In this paper, pose transfer is considered as a deformation process of the source mesh, and we propose a 3D mesh pose transfer method based on skeletal deformation. First, we design a neural network based on the edge convolution operator to extract the skeleton of the 3D mesh and bind the rigid weights; then, we calculate the bone transformations between the two skeletons with different poses and use the diffusion equation to smooth the rigid weights; finally, the source mesh is deformed according to the bone transformations and the smooth weights to get the target mesh. Experiment results on different datasets show that the pose of the reference mesh can be effectively transferred to the source one while maintaining the shape and high\u2010quality geometric details of the source mesh by using our method.<\/jats:p>","DOI":"10.1002\/cav.2156","type":"journal-article","created":{"date-parts":[[2023,5,15]],"date-time":"2023-05-15T01:44:21Z","timestamp":1684115061000},"update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["3D mesh pose transfer based on skeletal deformation"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"http:\/\/orcid.org\/0009-0000-9062-6506","authenticated-orcid":false,"given":"Shigeng","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer Electronics and Information Guangxi University Nanning Guangxi China"}]},{"given":"Mengxiao","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Electronics and Information Guangxi University Nanning Guangxi China"},{"name":"Guangxi Key Laboratory of Multimedia Communications Network Technology Guangxi University Guangxi China"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Electronics and Information Guangxi University Nanning Guangxi China"}]},{"given":"Guiqing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering South China University of Technology Guangdong China"}]},{"given":"Kan","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Computer Electronics and Information Guangxi University Nanning Guangxi China"},{"name":"Guangxi Key Laboratory of Multimedia Communications Network Technology Guangxi University Guangxi China"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Electronics and Information Guangxi University Nanning Guangxi China"},{"name":"Guangxi Key Laboratory of Multimedia Communications Network Technology Guangxi University Guangxi China"}]}],"member":"311","published-online":{"date-parts":[[2023,5,14]]},"reference":[{"key":"e_1_2_10_2_1","first-page":"3108","article-title":"3D Pose Transfer with Correspondence Learning and Mesh Refinement","volume":"34","author":"Song C","year":"2021","journal-title":"Adv Neural Inf Proces Syst"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00587"},{"key":"e_1_2_10_4_1","unstructured":"KingmaDP WellingM.Auto\u2010encoding variational bayes. arXiv preprint arXiv:1312.6114 2013."},{"key":"e_1_2_10_5_1","doi-asserted-by":"crossref","unstructured":"QiCR SuH MoK GuibasLJ.PointNet: deep learning on point sets for 3D classification and segmentation.IEEE conference on computer vision and pattern recognition (CVPR).Honolulu USA;2017. p.77\u201385.https:\/\/doi.org\/10.1109\/CVPR.2017.16","DOI":"10.1109\/CVPR.2017.16"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3005434"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015736"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2020.04.002"},{"key":"e_1_2_10_10_1","doi-asserted-by":"crossref","unstructured":"BassetJ BoukhaymaA WuhrerS MultonF BoyerE.Neural human deformation transfer.2021 international conference on 3D vision (3DV).London UK;2021. p.545\u201354.https:\/\/doi.org\/10.1109\/3DV53792.2021.00064","DOI":"10.1109\/3DV53792.2021.00064"},{"key":"e_1_2_10_11_1","series-title":"Lecture Notes in Computer Science","volume-title":"Computer vision\u00a0\u2013\u00a0ECCV","author":"Liao Z"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMI.2006.21"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12064"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2015.03.016"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_2"},{"key":"e_1_2_10_16_1","series-title":"Lecture Notes in Computer Science","volume-title":"Computer vision\u00a0\u2013\u00a0ECCV","author":"Zhou K","year":"2020"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3259059"},{"key":"e_1_2_10_18_1","first-page":"26","volume-title":"Proceedings on graphics interface '88. Canadian iformation processing society","author":"Magnenat\u2010Thalmann N","year":"1989"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2633374.2633376"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322982"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459852"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276467"},{"issue":"4","key":"e_1_2_10_23_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3450626.3459801","article-title":"Fast quasi\u2010harmonic weights for geometric data interpolation","volume":"40","author":"Wang Y","year":"2021","journal-title":"ACM Trans Graph"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964973"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601161"},{"key":"e_1_2_10_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2982433"},{"key":"e_1_2_10_27_1","doi-asserted-by":"crossref","unstructured":"XuZ ZhouY KalogerakisE LandrethC SinghK.RigNet: Neural rigging for articulated characters. arXiv preprint arXiv:2005.00559 2020.","DOI":"10.1145\/3386569.3392379"},{"key":"e_1_2_10_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322959"},{"key":"e_1_2_10_29_1","doi-asserted-by":"crossref","unstructured":"DesbrunM MeyerM Schr\u00f6derP BarrAH.Implicit fairing of irregular meshes using diffusion and curvature flow. In Proceedings of the 26th annual conference on Computer graphics and interactive techniques (SIGGRAPH '99). USA; ACM Press\/Addison\u2010Wesley Publishing Co.;1999;317\u201324.https:\/\/doi.org\/10.1145\/311535.311576","DOI":"10.1145\/311535.311576"},{"key":"e_1_2_10_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"e_1_2_10_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.586"},{"key":"e_1_2_10_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.491"},{"key":"e_1_2_10_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766993"},{"key":"e_1_2_10_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00552"},{"key":"e_1_2_10_35_1","first-page":"33","volume-title":"Retargetting motion to new characters","author":"Gleicher M","year":"1998"},{"key":"e_1_2_10_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467\u20108659.2005.00859.x"},{"key":"e_1_2_10_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778770"}],"container-title":["Computer Animation and Virtual Worlds"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/cav.2156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T09:33:12Z","timestamp":1692523992000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/cav.2156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":36,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["10.1002\/cav.2156"],"URL":"https:\/\/doi.org\/10.1002\/cav.2156","archive":["Portico"],"relation":{},"ISSN":["1546-4261","1546-427X"],"issn-type":[{"value":"1546-4261","type":"print"},{"value":"1546-427X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5]]},"assertion":[{"value":"2023-04-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}