{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T17:51:03Z","timestamp":1762105863782,"version":"build-2065373602"},"reference-count":37,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T00:00:00Z","timestamp":1721347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62322207"],"award-info":[{"award-number":["62322207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Foundation","doi-asserted-by":"crossref","award":["2021B1515020085"],"award-info":[{"award-number":["2021B1515020085"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shenzhen Science and Technology Program","award":["RCYX20210609103121030"],"award-info":[{"award-number":["RCYX20210609103121030"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2024,7,19]]},"abstract":"<jats:p>In this paper, we introduce a new method for the task of interaction transfer. Given an example interaction between a source object and an agent, our method can automatically infer both surface and spatial relationships for the agent and target objects within the same category, yielding more accurate and valid transfers. Specifically, our method characterizes the example interaction using a combined spatial and surface representation. We correspond the agent points and object points related to the representation to the target object space using a learned spatial and surface correspondence field, which represents objects as deformed and rotated signed distance fields. With the corresponded points, an optimization is performed under the constraints of our spatial and surface interaction representation and additional regularization. Experiments conducted on human-chair and hand-mug interaction transfer tasks show that our approach can handle larger geometry and topology variations between source and target shapes, significantly outperforming state-of-the-art methods.<\/jats:p>","DOI":"10.1145\/3658169","type":"journal-article","created":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T14:47:57Z","timestamp":1721400477000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Spatial and Surface Correspondence Field for Interaction Transfer"],"prefix":"10.1145","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6786-1997","authenticated-orcid":false,"given":"Zeyu","family":"Huang","sequence":"first","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6380-4078","authenticated-orcid":false,"given":"Honghao","family":"Xu","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7787-6428","authenticated-orcid":false,"given":"Haibin","family":"Huang","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8243-9513","authenticated-orcid":false,"given":"Chongyang","family":"Ma","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3212-0544","authenticated-orcid":false,"given":"Hui","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6798-0336","authenticated-orcid":false,"given":"Ruizhen","family":"Hu","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,19]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392462"},{"key":"e_1_2_2_2_1","volume-title":"Learning character-agnostic motion for motion retargeting in 2d. arXiv preprint arXiv:1905.01680","author":"Aberman Kfir","year":"2019","unstructured":"Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or. 2019. Learning character-agnostic motion for motion retargeting in 2d. arXiv preprint arXiv:1905.01680 (2019)."},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2485895.2485905"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359566.3360075"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01198"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01015"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778770"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160666"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00859"},{"volume-title":"Computer Graphics Forum","author":"Jin Taeil","key":"e_1_2_2_12_1","unstructured":"Taeil Jin, Meekyoung Kim, and Sung-Hee Lee. 2018. Aura mesh: Motion retargeting to preserve the spatial relationships between skinned characters. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 311--320."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/cav.2015"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00061"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2593780"},{"key":"e_1_2_2_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"volume-title":"Computer graphics forum","author":"Li Hao","key":"e_1_2_2_17_1","unstructured":"Hao Li, Robert W Sumner, and Mark Pauly. 2008. Global correspondence optimization for non-rigid registration of depth scans. In Computer graphics forum, Vol. 27. Wiley Online Library, 1421--1430."},{"key":"e_1_2_2_18_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3618333","article-title":"Object motion guided human motion synthesis","volume":"42","author":"Li Jiaman","year":"2023","unstructured":"Jiaman Li, Jiajun Wu, and C Karen Liu. 2023. Object motion guided human motion synthesis. ACM Transactions on Graphics (TOG) 42, 6 (2023), 1--11.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274247.3274507"},{"key":"e_1_2_2_20_1","volume-title":"Smooth non-rigid shape matching via effective Dirichlet energy optimization. arXiv preprint arXiv:2210.02870","author":"Magnet Robin","year":"2022","unstructured":"Robin Magnet, Jing Ren, Olga Sorkine-Hornung, and Maks Ovsjanikov. 2022. Smooth non-rigid shape matching via effective Dirichlet energy optimization. arXiv preprint arXiv:2210.02870 (2022)."},{"key":"e_1_2_2_21_1","volume-title":"Point set registration: Coherent point drift","author":"Myronenko Andriy","year":"2010","unstructured":"Andriy Myronenko and Xubo Song. 2010. Point set registration: Coherent point drift. IEEE transactions on pattern analysis and machine intelligence 32, 12 (2010), 2262--2275."},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185526"},{"volume-title":"Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 10975--10985","author":"Pavlakos Georgios","key":"e_1_2_2_23_1","unstructured":"Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black. 2019. Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 10975--10985."},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3083725"},{"key":"e_1_2_2_25_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."},{"volume-title":"Computer Graphics Forum","author":"Ren Jing","key":"e_1_2_2_26_1","unstructured":"Jing Ren, Simone Melzi, Peter Wonka, and Maks Ovsjanikov. 2021. Discrete optimization for shape matching. In Computer Graphics Forum, Vol. 40. Wiley Online Library, 81--96."},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2826057"},{"key":"e_1_2_2_28_1","volume-title":"Black","author":"Romero Javier","year":"2017","unstructured":"Javier Romero, Dimitrios Tzionas, and Michael J. Black. 2017. Embodied Hands: Modeling and Capturing Hands and Bodies Together. ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) 36, 6 (Nov. 2017)."},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812146"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02018"},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3260725"},{"key":"e_1_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02028"},{"key":"e_1_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591491"},{"key":"e_1_2_2_34_1","volume-title":"Myung Geol Choi, and Taku Komura","author":"Zhao Xi","year":"2017","unstructured":"Xi Zhao, Myung Geol Choi, and Taku Komura. 2017. Character-object interaction retrieval using the interaction bisector surface. 36, 2 (2017), 119--129."},{"key":"e_1_2_2_35_1","volume-title":"Localization and completion for 3D object interactions","author":"Zhao Xi","year":"2019","unstructured":"Xi Zhao, Ruizhen Hu, Haisong Liu, Taku Komura, and Xinyu Yang. 2019. Localization and completion for 3D object interactions. IEEE transactions on visualization and computer graphics 26, 8 (2019), 2634--2644."},{"key":"e_1_2_2_36_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2574860","article-title":"Indexing 3d scenes using the interaction bisector surface","volume":"33","author":"Zhao Xi","year":"2014","unstructured":"Xi Zhao, He Wang, and Taku Komura. 2014. Indexing 3d scenes using the interaction bisector surface. ACM Transactions on Graphics 33, 3 (2014), 1--14.","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00148"},{"key":"e_1_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186822.1073219"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658169","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3658169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:05:54Z","timestamp":1750291554000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,19]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7,19]]}},"alternative-id":["10.1145\/3658169"],"URL":"https:\/\/doi.org\/10.1145\/3658169","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"type":"print","value":"0730-0301"},{"type":"electronic","value":"1557-7368"}],"subject":[],"published":{"date-parts":[[2024,7,19]]},"assertion":[{"value":"2024-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}