{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T06:02:03Z","timestamp":1784268123027,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Key R&D Program of Zhejiang","award":["2023C01047"],"award-info":[{"award-number":["2023C01047"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1145\/3680528.3687609","type":"proceedings-article","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T08:14:37Z","timestamp":1733213677000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Decoupling Contact for Fine-Grained Motion Style Transfer"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7441-0086","authenticated-orcid":false,"given":"Xiangjun","family":"Tang","sequence":"first","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1988-0090","authenticated-orcid":false,"given":"Linjun","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2281-5679","authenticated-orcid":false,"given":"He","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and UCL Centre for Artificial Intelligence, University College London (UCL), London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2432-809X","authenticated-orcid":false,"given":"Yiqian","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6599-7249","authenticated-orcid":false,"given":"Bo","family":"Hu","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6931-4129","authenticated-orcid":false,"given":"Songnan","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3900-2903","authenticated-orcid":false,"given":"Xu","family":"Gong","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9008-3609","authenticated-orcid":false,"given":"Yuchen","family":"Liao","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-7069","authenticated-orcid":false,"given":"Qilong","family":"Kou","sequence":"additional","affiliation":[{"name":"Tencent Technology (Shenzhen) Co., Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-2920","authenticated-orcid":false,"given":"Xiaogang","family":"Jin","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,12,3]]},"reference":[{"key":"e_1_3_3_2_2_1","doi-asserted-by":"crossref","unstructured":"Kfir Aberman Yijia Weng Dani Lischinski Daniel Cohen-Or and Baoquan Chen. 2020. Unpaired motion style transfer from video to animation. ACM Transactions on Graphics 39 4 (2020) 1\u201312.","DOI":"10.1145\/3386569.3392469"},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460608"},{"key":"e_1_3_3_2_4_1","doi-asserted-by":"crossref","unstructured":"Simon Alexanderson Gustav\u00a0Eje Henter Taras Kucherenko and Jonas Beskow. 2020. Style-controllable speech-driven gesture synthesis using normalising flows. Computer Graphics Forum 39 2 (2020) 487\u2013496.","DOI":"10.1111\/cgf.13946"},{"key":"e_1_3_3_2_5_1","doi-asserted-by":"crossref","unstructured":"Simon Alexanderson Rajmund Nagy Jonas Beskow and Gustav\u00a0Eje Henter. 2023. Listen denoise action! Audio-driven motion synthesis with diffusion models. ACM Transactions on Graphics 42 4 (2023) 1\u201320.","DOI":"10.1145\/3592458"},{"key":"e_1_3_3_2_6_1","first-page":"195","volume-title":"International Conference on Machine Learning","author":"Almahairi Amjad","year":"2018","unstructured":"Amjad Almahairi, Sai Rajeshwar, Alessandro Sordoni, Philip Bachman, and Aaron Courville. 2018. Augmented cyclegan: Learning many-to-many mappings from unpaired data. In International Conference on Machine Learning. PMLR, 195\u2013204."},{"key":"e_1_3_3_2_7_1","first-page":"222","volume-title":"Graphics Interface","author":"Amaya Kenji","year":"1996","unstructured":"Kenji Amaya, Armin Bruderlin, and Tom Calvert. 1996. Emotion from motion. In Graphics Interface , Vol.\u00a096. Toronto, Canada, 222\u2013229. https:\/\/dl.acm.org\/doi\/10.5555\/241020.241079"},{"key":"e_1_3_3_2_8_1","doi-asserted-by":"crossref","unstructured":"Tenglong Ao Zeyi Zhang and Libin Liu. 2023. GestureDiffuCLIP: Gesture diffusion model with CLIP latents. ACM Transactions on Graphics 42 4 (2023) 1\u201318.","DOI":"10.1145\/3592097"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"crossref","unstructured":"Okan Arikan and D.\u00a0A. Forsyth. 2002. Interactive motion generation from examples. ACM Transactions on Graphics 21 3 (2002) 483\u2013490.","DOI":"10.1145\/566654.566606"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/1632592.1632610"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344865"},{"key":"e_1_3_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218421"},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"crossref","unstructured":"Jinxiang Chai and Jessica\u00a0K. Hodgins. 2007. Constraint-based motion optimization using a statistical dynamic model. ACM Transactions on Graphics 26 3 (2007) 8\u2013es.","DOI":"10.1145\/1276377.1276387"},{"key":"e_1_3_3_2_14_1","volume-title":"Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications","author":"Chang Ziyi","year":"2022","unstructured":"Ziyi Chang, Edmund\u00a0JC Findlay, Haozheng Zhang, and Hubert\u00a0PH Shum. 2022. Unifying human motion synthesis and style transfer with denoising diffusion probabilistic models. In Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications."},{"key":"e_1_3_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413669"},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00156"},{"key":"e_1_3_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3424636.3426909"},{"key":"e_1_3_3_2_19_1","doi-asserted-by":"publisher","unstructured":"Saeed Ghorbani Ylva Ferstl Daniel Holden Nikolaus\u00a0F. Troje and Marc-Andr\u00e9 Carbonneau. 2023. ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. Computer Graphics Forum 42 1 (2023) 206\u2013216. 10.1111\/cgf.14734 arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cgf.14734","DOI":"10.1111\/cgf.14734"},{"key":"e_1_3_3_2_20_1","doi-asserted-by":"crossref","unstructured":"Daniel Holden Ikhsanul Habibie Ikuo Kusajima and Taku Komura. 2017a. Fast neural style transfer for motion data. IEEE Computer Graphics and Applications 37 4 (2017) 42\u201349.","DOI":"10.1109\/MCG.2017.3271464"},{"key":"e_1_3_3_2_21_1","doi-asserted-by":"crossref","unstructured":"Daniel Holden Oussama Kanoun Maksym Perepichka and Tiberiu Popa. 2020. Learned motion matching. ACM Transactions on Graphics 39 4 (2020) 1\u201312.","DOI":"10.1145\/3386569.3392440"},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Daniel Holden Taku Komura and Jun Saito. 2017b. Phase-functioned neural networks for character control. ACM Transactions on Graphics 36 4 (2017) 1\u201313.","DOI":"10.1145\/3072959.3073663"},{"key":"e_1_3_3_2_23_1","doi-asserted-by":"crossref","unstructured":"Daniel Holden Jun Saito and Taku Komura. 2016. A deep learning framework for character motion synthesis and editing. ACM Transactions on Graphics 35 4 (2016) 1\u201311.","DOI":"10.1145\/2897824.2925975"},{"key":"e_1_3_3_2_24_1","doi-asserted-by":"crossref","unstructured":"Eugene Hsu Kari Pulli and Jovan Popovi\u0107. 2005. Style translation for human motion. ACM Transactions on Graphics 24 3 (2005) 1082\u20131089.","DOI":"10.1145\/1073204.1073315"},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"crossref","unstructured":"Deok-Kyeong Jang Soomin Park and Sung-Hee Lee. 2022. Motion puzzle: Arbitrary motion style transfer by body part. ACM Transactions on Graphics 41 3 (2022) 1\u201316.","DOI":"10.1145\/3516429"},{"key":"e_1_3_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618252"},{"key":"e_1_3_3_2_27_1","unstructured":"Biao Jiang Xin Chen Wen Liu Jingyi Yu Gang Yu and Tao Chen. 2024. Motiongpt: Human motion as a foreign language. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_28_1","doi-asserted-by":"crossref","unstructured":"Boeun Kim Jungho Kim Hyung\u00a0Jin Chang and Jin\u00a0Young Choi. 2024. MoST: Motion Style Transformer between Diverse Action Contents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.06225 (2024).","DOI":"10.1109\/CVPR52733.2024.00168"},{"key":"e_1_3_3_2_29_1","unstructured":"Chaelin Kim Haekwang Eom Jung\u00a0Eun Yoo Soojin Choi and Junyong Noh. 2023. Interactive locomotion style control for a human character based on gait cycle features. Computer Graphics Forum (2023) e14988."},{"key":"e_1_3_3_2_30_1","doi-asserted-by":"crossref","unstructured":"Lucas Kovar Michael Gleicher and Fr\u00e9d\u00e9ric Pighin. 2002. Motion graphs. ACM Transactions on Graphics 21 3 (2002) 473\u2013482.","DOI":"10.1145\/566654.566605"},{"key":"e_1_3_3_2_31_1","doi-asserted-by":"crossref","unstructured":"Sergey Levine Jack\u00a0M Wang Alexis Haraux Zoran Popovi\u0107 and Vladlen Koltun. 2012. Continuous character control with low-dimensional embeddings. ACM Transactions on Graphics 31 4 (2012) 1\u201310.","DOI":"10.1145\/2185520.2335379"},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"crossref","unstructured":"Hung\u00a0Yu Ling Fabio Zinno George Cheng and Michiel van\u00a0de Panne. 2020. Character controllers using motion VAEs. ACM Transactions on Graphics 39 4 (2020) 1\u201312.","DOI":"10.1145\/3386569.3392422"},{"key":"e_1_3_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.497"},{"key":"e_1_3_3_2_34_1","doi-asserted-by":"crossref","unstructured":"Ian Mason Sebastian Starke and Taku Komura. 2022. Real-time style modelling of human locomotion via feature-wise transformations and local motion phases. Proceedings of the ACM on Computer Graphics and Interactive Techniques 5 1 1\u201318.","DOI":"10.1145\/3522618"},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"crossref","unstructured":"Ian Mason Sebastian Starke He Zhang Hakan Bilen and Taku Komura. 2018. Few-shot learning of homogeneous human locomotion styles. Computer Graphics Forum 37 7 (2018) 143\u2013153.","DOI":"10.1111\/cgf.13555"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"crossref","unstructured":"Jianyuan Min and Jinxiang Chai. 2012. Motion graphs++: A compact generative model for semantic motion analysis and synthesis. ACM Transactions on Graphics 31 6 (2012) 1\u201312.","DOI":"10.1145\/2366145.2366172"},{"key":"e_1_3_3_2_37_1","doi-asserted-by":"crossref","unstructured":"Soomin Park Deok-Kyeong Jang and Sung-Hee Lee. 2021. Diverse motion stylization for multiple style domains via spatial-temporal graph-based generative model. Proceedings of the ACM on Computer Graphics and Interactive Techniques 4 3 1\u201317.","DOI":"10.1145\/3480145"},{"key":"e_1_3_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01080"},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_28"},{"key":"e_1_3_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/566570.566608"},{"key":"e_1_3_3_2_41_1","doi-asserted-by":"crossref","unstructured":"Sarah Ribet Hazem Wannous and Jean-Philippe Vandeborre. 2019. Survey on style in 3d human body motion: Taxonomy data recognition and its applications. IEEE Transactions on Affective Computing 12 4 (2019) 928\u2013948.","DOI":"10.1109\/TAFFC.2019.2906167"},{"key":"e_1_3_3_2_42_1","doi-asserted-by":"crossref","unstructured":"Alla Safonova and Jessica\u00a0K. Hodgins. 2007. Construction and optimal search of interpolated motion graphs. ACM Transactions on Graphics 26 3 (2007) 106\u2013es.","DOI":"10.1145\/1276377.1276510"},{"key":"e_1_3_3_2_43_1","doi-asserted-by":"crossref","unstructured":"Yijun Shen He Wang Edmond S.\u00a0L. Ho Longzhi Yang and Hubert P.\u00a0H. Shum. 2017. Posture-based and action-based graphs for boxing skill visualization. Computers and Graphics 69 Supplement C (2017) 104\u2013115.","DOI":"10.1016\/j.cag.2017.09.007"},{"key":"e_1_3_3_2_44_1","doi-asserted-by":"crossref","unstructured":"Harrison\u00a0Jesse Smith Chen Cao Michael Neff and Yingying Wang. 2019. Efficient neural networks for real-time motion style transfer. Proceedings of the ACM on Computer Graphics and Interactive Techniques 2 2 1\u201317.","DOI":"10.1145\/3340254"},{"key":"e_1_3_3_2_45_1","doi-asserted-by":"crossref","unstructured":"Wenfeng Song Xingliang Jin Shuai Li Chenglizhao Chen Aimin Hao and Xia Hou. 2023. FineStyle: Semantic-aware fine-grained motion style transfer with dual interactive-flow fusion. IEEE Transactions on Visualization and Computer Graphics (2023).","DOI":"10.1109\/TVCG.2023.3320216"},{"key":"e_1_3_3_2_46_1","doi-asserted-by":"crossref","unstructured":"Sebastian Starke Ian Mason and Taku Komura. 2022. DeepPhase: periodic autoencoders for learning motion phase manifolds. ACM Transactions on Graphics 41 4 (2022) 1\u201313.","DOI":"10.1145\/3528223.3530178"},{"key":"e_1_3_3_2_47_1","doi-asserted-by":"crossref","unstructured":"Sebastian Starke Yiwei Zhao Taku Komura and Kazi Zaman. 2020. Local motion phases for learning multi-contact character movements. ACM Transactions on Graphics 39 4 Article 54 (2020).","DOI":"10.1145\/3386569.3392450"},{"key":"e_1_3_3_2_48_1","doi-asserted-by":"crossref","unstructured":"Sebastian Starke Yiwei Zhao Fabio Zinno and Taku Komura. 2021. Neural animation layering for synthesizing martial arts movements. ACM Transactions on Graphics 40 4 (2021) 1\u201316.","DOI":"10.1145\/3476576.3476651"},{"key":"e_1_3_3_2_49_1","doi-asserted-by":"crossref","unstructured":"Xiangjun Tang He Wang Bo Hu Xu Gong Ruifan Yi Qilong Kou and Xiaogang Jin. 2022. Real-time controllable motion transition for characters. ACM Transactions on Graphics 41 4 (2022) 1\u201310.","DOI":"10.1145\/3528223.3530090"},{"key":"e_1_3_3_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591514"},{"key":"e_1_3_3_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00648"},{"key":"e_1_3_3_2_52_1","unstructured":"Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or and Amit\u00a0H Bermano. 2022. Human motion diffusion model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2209.14916 (2022)."},{"key":"e_1_3_3_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218419"},{"key":"e_1_3_3_2_54_1","doi-asserted-by":"crossref","unstructured":"He Wang Edmond\u00a0SL Ho and Taku Komura. 2015. An energy-driven motion planning method for two distant postures. IEEE Transactions on Visualization and Computer Graphics 21 1 (2015) 18\u201330.","DOI":"10.1109\/TVCG.2014.2327976"},{"key":"e_1_3_3_2_55_1","doi-asserted-by":"crossref","unstructured":"He Wang Edmond\u00a0SL Ho Hubert\u00a0PH Shum and Zhanxing Zhu. 2019. Spatio-temporal manifold learning for human motions via long-horizon modeling. IEEE Transactions on Visualization and Computer Graphics 27 1 (2019) 216\u2013227.","DOI":"10.1109\/TVCG.2019.2936810"},{"key":"e_1_3_3_2_56_1","doi-asserted-by":"crossref","unstructured":"He Wang Kirill\u00a0A Sidorov Peter Sandilands and Taku Komura. 2013. Harmonic parameterization by electrostatics. ACM Transactions on Graphics 32 5 (2013) 1\u201312.","DOI":"10.1145\/2503177"},{"key":"e_1_3_3_2_57_1","doi-asserted-by":"crossref","unstructured":"Shihong Xia Congyi Wang Jinxiang Chai and Jessica Hodgins. 2015. Realtime style transfer for unlabeled heterogeneous human motion. ACM Transactions on Graphics 34 4 (2015) 1\u201310.","DOI":"10.1145\/2766999"},{"key":"e_1_3_3_2_58_1","doi-asserted-by":"crossref","unstructured":"M\u00a0Ersin Yumer and Niloy\u00a0J Mitra. 2016. Spectral style transfer for human motion between independent actions. ACM Transactions on Graphics 35 4 (2016) 1\u20138.","DOI":"10.1145\/2897824.2925955"},{"key":"e_1_3_3_2_59_1","doi-asserted-by":"crossref","unstructured":"He Zhang Sebastian Starke Taku Komura and Jun Saito. 2018. Mode-adaptive neural networks for quadruped motion control. ACM Transactions on Graphics 37 4 (2018) 1\u201311.","DOI":"10.1145\/3197517.3201366"},{"key":"e_1_3_3_2_60_1","doi-asserted-by":"crossref","unstructured":"Haotian Zhang Ye Yuan Viktor Makoviychuk Yunrong Guo Sanja Fidler Xue\u00a0Bin Peng and Kayvon Fatahalian. 2023a. Learning physically simulated tennis skills from broadcast videos. ACM Transactions On Graphics 42 4 (2023) 1\u201314.","DOI":"10.1145\/3592408"},{"key":"e_1_3_3_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01415"}],"event":{"name":"SA '24: SIGGRAPH Asia 2024 Conference Papers","location":"Tokyo Japan","acronym":"SA '24","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["SIGGRAPH Asia 2024 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3680528.3687609","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3680528.3687609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:26Z","timestamp":1750294706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3680528.3687609"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":60,"alternative-id":["10.1145\/3680528.3687609","10.1145\/3680528"],"URL":"https:\/\/doi.org\/10.1145\/3680528.3687609","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"2024-12-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}