{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:37:51Z","timestamp":1760524671393,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62441202 and U22B2035"],"award-info":[{"award-number":["62441202 and U22B2035"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2021YFF0900500"],"award-info":[{"award-number":["2021YFF0900500"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681143","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"1791-1799","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Mesh Denoising Using Filtering Coefficients Jointly Aware of Noise and Geometry"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5763-2493","authenticated-orcid":false,"given":"Xingtao","family":"Wang","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0617-2965","authenticated-orcid":false,"given":"Xianqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8656-0954","authenticated-orcid":false,"given":"Wenxue","family":"Cui","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9796-0478","authenticated-orcid":false,"given":"Ruiqin","family":"Xiong","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9660-3636","authenticated-orcid":false,"given":"Xiaopeng","family":"Fan","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3434-9967","authenticated-orcid":false,"given":"Debin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531327"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/588272.588276"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"e_1_3_2_1_4_1","volume-title":"Reality3DSketch: Rapid 3D Modeling of Objects from Single Freehand Sketches","author":"Chen Tianrun","year":"2023","unstructured":"Tianrun Chen, Chaotao Ding, Lanyun Zhu, Ying Zang, Yiyi Liao, Zejian Li, and Lingyun Sun. 2023. Reality3DSketch: Rapid 3D Modeling of Objects from Single Freehand Sketches. IEEE Transactions on Multimedia (2023)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1109\/TVCG.2009.70","article-title":"Robust feature-preserving mesh denoising based on consistent subneighborhoods","volume":"16","author":"Fan Hanqi","year":"2009","unstructured":"Hanqi Fan, Yizhou Yu, and Qunsheng Peng. 2009. Robust feature-preserving mesh denoising based on consistent subneighborhoods. IEEE Transactions on Visualization and Computer Graphics, Vol. 16, 2 (2009), 312--324.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1201775.882368"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3076340"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1201775.882367"},{"key":"e_1_3_2_1_9_1","volume-title":"Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05)","author":"Lee Kai-Wah","year":"2005","unstructured":"Kai-Wah Lee and Wen-Ping Wang. 2005. Feature-preserving mesh denoising via bilateral normal filtering. In Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05). IEEE, 275--280."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601229"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3001681"},{"volume-title":"Computer Graphics Forum","author":"Li Xianzhi","key":"e_1_3_2_1_12_1","unstructured":"Xianzhi Li, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng. 2018. Non-Local Low-Rank Normal Filtering for Mesh Denoising. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 155--166."},{"key":"e_1_3_2_1_13_1","volume-title":"3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction","author":"Li Yong","year":"2022","unstructured":"Yong Li, Qiang Hao, Jianguo Hu, Xinmiao Pan, Zechao Li, and Zhen Cui. 2022. 3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction. IEEE Transactions on Multimedia (2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2020.102861"},{"key":"e_1_3_2_1_15_1","volume-title":"Mesh total generalized variation for denoising","author":"Liu Zheng","year":"2021","unstructured":"Zheng Liu, Yanlei Li, Weina Wang, Ligang Liu, and Renjie Chen. 2021. Mesh total generalized variation for denoising. IEEE Transactions on Visualization and Computer Graphics (2021)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3073265"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00265"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3006371"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 652--660","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017. PointNet: Deep learning on point sets for 3D classification and segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 652--660."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems. 5105--5114","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017. PointNet: deep hierarchical feature learning on point sets in a metric space. In Proceedings of the 31st International Conference on Neural Information Processing Systems. 5105--5114."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00864"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2004.1272725"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3480168","article-title":"GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks","volume":"41","author":"Shen Yuefan","year":"2022","unstructured":"Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, and Youyi Zheng. 2022. GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. ACM Transactions on Graphics (TOG), Vol. 41, 1 (2022), 1--14.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2007.1065"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710815"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2012.03.001"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980232"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3207789"},{"key":"e_1_3_2_1_29_1","volume-title":"Fu Lee Wang, and Jing Qin","author":"Wei Mingqiang","year":"2019","unstructured":"Mingqiang Wei, Xianglin Guo, Jin Huang, Haoran Xie, Hua Zong, Reggie Kwan, Fu Lee Wang, and Jing Qin. 2019. Mesh defiltering via cascaded geometry recovery. In Computer Graphics Forum, Vol. 38. Wiley Online Library, 591--605."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2865363"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CGI.2003.1214444"},{"key":"e_1_3_2_1_32_1","volume-title":"Learning 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces","author":"Yang Wenwu","year":"2023","unstructured":"Wenwu Yang, Yeqing Zhao, Bailin Yang, and Jianbing Shen. 2023. Learning 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces. IEEE Transactions on Multimedia (2023)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00387"},{"volume-title":"Computer Graphics Forum","author":"Zhang Wangyu","key":"e_1_3_2_1_34_1","unstructured":"Wangyu Zhang, Bailin Deng, Juyong Zhang, Sofien Bouaziz, and Ligang Liu. 2015. Guided mesh normal filtering. In Computer Graphics Forum, Vol. 34. Wiley Online Library, 23--34."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2021.103154"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2944357"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3099939"},{"volume-title":"Computer Graphics Forum","author":"Zhao Zhibo","key":"e_1_3_2_1_38_1","unstructured":"Zhibo Zhao, Wenming Tang, and Yuanhao Gong. 2024. Curvature-driven Multi-stream Network for Feature-preserving Mesh Denoising. In Computer Graphics Forum, Vol. 43. Wiley Online Library, e14993."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.264"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2943740"}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Melbourne VIC Australia","acronym":"MM '24"},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681143","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:53Z","timestamp":1750294673000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":40,"alternative-id":["10.1145\/3664647.3681143","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681143","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}