{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T08:02:27Z","timestamp":1784361747614,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234288","type":"print"},{"value":"9789819234295","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3429-5_45","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T07:05:33Z","timestamp":1784358333000},"page":"550-560","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SceneMoDiff: Trajectory-Decoupled Motion Style Transfer via Multimodal Environmental Modulation"],"prefix":"10.1007","author":[{"given":"Yingying","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeyang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haohan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianan","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"45_CR1","unstructured":"Tevet, G., Raab, S., Gordon, B., Shafir, Y., Cohen-Or, D., Bermano, A.H.: Human motion diffusion model. ArXiv Prepr. ArXiv220914916. (2022)."},{"key":"45_CR2","doi-asserted-by":"crossref","unstructured":"Chen, X., et al.: Executing your commands via motion diffusion in latent space. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2023).","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"45_CR3","unstructured":"Xie, Y., Jampani, V., Zhong, L., Sun, D., Jiang, H.: OmniControl: control any joint at any time for human motion generation. In: Proceedings of the International Conference on Learning Representations (2024)."},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Karunratanakul, K., Preechakul, K., Suwajanakorn, S., Tang, S.: Guided motion diffusion for controllable human motion synthesis. In: Proceedings of the International Conference on Computer Vision (2023).","DOI":"10.1109\/ICCV51070.2023.00205"},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Jang, D.-K., Park, S., Lee, S.-H.: Motion puzzle: arbitrary motion style transfer by body part. ACM Trans. Graph. (2022).","DOI":"10.1145\/3516429"},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"Song, W., et al.: Arbitrary motion style transfer with multi-condition motion latent diffusion model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 821\u2013830 (2024).","DOI":"10.1109\/CVPR52733.2024.00084"},{"key":"45_CR7","doi-asserted-by":"crossref","unstructured":"Huang, S., et al.: Diffusion-based generation, optimization, and planning in 3D scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2023).","DOI":"10.1109\/CVPR52729.2023.01607"},{"key":"45_CR8","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-031-20068-7_18","volume-title":"Computer Vision \u2013 ECCV 2022","author":"K Zhao","year":"2022","unstructured":"Zhao, K., Wang, S., Zhang, Y., Beeler, T., Tang, S.: Compositional human-scene interaction synthesis with semantic control. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) Computer Vision \u2013 ECCV 2022, pp. 311\u2013327. Springer Nature Switzerland, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20068-7_18"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Yuan, Y., Song, J., Iqbal, U., Vahdat, A., Kautz, J.: PhysDiff: Physics-guided human motion diffusion model. In: Proceedings of the International Conference on Computer Vision (2023).","DOI":"10.1109\/ICCV51070.2023.01467"},{"key":"45_CR10","doi-asserted-by":"crossref","unstructured":"Peebles, W., Xie, S.: Scalable diffusion models with transformers. In: Proceedings of the IEEE\/CVF international conference on computer vision. pp. 4195\u20134205 (2023).","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"45_CR11","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Proceedings of the International Conference on Machine Learning (2021)."},{"key":"45_CR12","doi-asserted-by":"publisher","unstructured":"Perez, E., Strub, F., de Vries, H., Dumoulin, V., Courville, A.: FiLM: visual reasoning with a general conditioning layer. Proc. AAAI Conf. Artif. Intell. 32 (2018). https:\/\/doi.org\/10.1609\/aaai.v32i1.11671","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"45_CR13","doi-asserted-by":"crossref","unstructured":"Guo, C., et al.: Generating diverse and natural 3D human motions from text. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2022).","DOI":"10.1109\/CVPR52688.2022.00509"},{"key":"45_CR14","doi-asserted-by":"crossref","unstructured":"Shen, Z., et al.: World-grounded human motion recovery via gravity-view coordinates. In: SIGGRAPH Asia Conference Proceedings (2024).","DOI":"10.1145\/3680528.3687565"},{"key":"45_CR15","doi-asserted-by":"crossref","unstructured":"Aberman, K., Weng, Y., Lischinski, D., Cohen-Or, D., Chen, B.: Unpaired motion style transfer from video to animation. ACM Trans. Graph. (2020).","DOI":"10.1145\/3386569.3392469"},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Park, S., Jang, D.-K., Lee, S.-H.: Diverse motion stylization for multiple style domains via spatial-temporal graph-based generative model. Proc. ACM Comput. Graph. Interact. Tech. (2021).","DOI":"10.1145\/3480145"},{"key":"45_CR17","doi-asserted-by":"crossref","unstructured":"Dai, W., Chen, L.-H., Wang, J., Liu, J., Dai, B., Tang, Y.: MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model, http:\/\/arxiv.org\/abs\/2404.19759, (2024). doi:10.48550\/arXiv.2404.19759.","DOI":"10.1007\/978-3-031-72640-8_22"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3429-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T07:05:36Z","timestamp":1784358336000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3429-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9789819234288","9789819234295"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3429-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}