{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:25:26Z","timestamp":1782318326717,"version":"3.54.5"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472285"],"award-info":[{"award-number":["62472285"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]},{"name":"Open Project Program of the State Key Laboratory of CAD","award":["A2305"],"award-info":[{"award-number":["A2305"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tvcg.2025.3542631","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T13:31:30Z","timestamp":1739799090000},"page":"7171-7183","source":"Crossref","is-referenced-by-count":10,"title":["SPORT: From Zero-Shot Prompts to Real-Time Motion Generation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8981-5251","authenticated-orcid":false,"given":"Bin","family":"Ji","sequence":"first","affiliation":[{"name":"JHC & AI Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1447-6806","authenticated-orcid":false,"given":"Ye","family":"Pan","sequence":"additional","affiliation":[{"name":"JHC & AI Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0688-2863","authenticated-orcid":false,"given":"Zhimeng","family":"Liu","sequence":"additional","affiliation":[{"name":"JHC & AI Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3322-5161","authenticated-orcid":false,"given":"Shuai","family":"Tan","sequence":"additional","affiliation":[{"name":"JHC & AI Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4029-3322","authenticated-orcid":false,"given":"Xiaokang","family":"Yang","sequence":"additional","affiliation":[{"name":"JHC & AI Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073663"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201366"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392422"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13555"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00648"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3522618"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392450"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_21"},{"key":"ref9","article-title":"Human motion diffusion model","author":"Tevet","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3355414\/mm2"},{"key":"ref12","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"issue":"1","key":"ref13","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3592097"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00870"},{"key":"ref16","article-title":"Humantomato: Text-aligned whole-body motion generation","author":"Lu","year":"2023"},{"key":"ref17","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref18","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.27973"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356505"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530178"},{"key":"ref22","article-title":"Analytic-DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models","author":"Bao","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392469"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2938520"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.4135\/9781446251409.n4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530157"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13946"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3259183"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-894"},{"issue":"3","key":"ref31","first-page":"1025","article-title":"Two distributed-state models for generating high-dimensional time series","volume":"12","author":"Taylor","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67401-8_18"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3641519.3657515"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72627-9_2"},{"key":"ref35","first-page":"5775","article-title":"DPM-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lu"},{"key":"ref36","first-page":"222","article-title":"Emotion from motion","volume":"96","author":"Amaya","year":"1996","journal-title":"Graph. Interface"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925955"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1186822.1073315"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553505"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2766999"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925975"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1167\/16.12.326"},{"key":"ref43","first-page":"9","article-title":"Stylistic locomotion modeling with conditional variational autoencoder","volume-title":"Proc. Annu. Conf. Eur. Assoc. Comput. Graph.","author":"Du"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_28"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00916"},{"key":"ref47","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020"},{"key":"ref48","article-title":"Hierarchical text-conditional image generation with clip latents","author":"Ramesh","year":"2022"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3516429"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591514"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413635"},{"key":"ref53","article-title":"MotionGPT: Human motion as a foreign language","author":"Jiang","year":"2023"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/2945\/11151252\/10891181.pdf?arnumber=10891181","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T19:17:38Z","timestamp":1757099858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891181\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":53,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2025.3542631","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}