{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T03:29:40Z","timestamp":1777865380743,"version":"3.51.4"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.00994","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups"],"prefix":"10.1109","author":[{"given":"Sakuya","family":"Ota","sequence":"first","affiliation":[{"name":"Institute of Science Tokyo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Yu","sequence":"additional","affiliation":[{"name":"LY Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kent","family":"Fujiwara","sequence":"additional","affiliation":[{"name":"LY Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satoshi","family":"Ikehata","sequence":"additional","affiliation":[{"name":"National Institute of Informatics (NII)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ikuro","family":"Sato","sequence":"additional","affiliation":[{"name":"Institute of Science Tokyo"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV57658.2022.00053"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00051"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3592116"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72640-8_22"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73242-3_6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00143"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00509"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00186"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00896"},{"key":"ref11","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"NeurIPS","author":"Ho","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392440"},{"key":"ref13","article-title":"Intermask: 3d human interaction generation via collaborative masked modelling","volume-title":"arXiv preprint","author":"Javed","year":"2024"},{"key":"ref14","article-title":"Action-gpt: Leveraging large-scale language models for improved and generalized zero shot action generation","volume-title":"arXiv preprint","author":"Kalakonda","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00205"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00133"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00057"},{"key":"ref18","article-title":"T21m: Long-term 3d human motion generation from multiple sentences","volume-title":"CVPR","author":"Lee","year":"2024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02042-6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.00139"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01080"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_28"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00153"},{"key":"ref25","article-title":"Learning transferable visual models from natural language supervision","volume-title":"ICML","author":"Radford","year":"2021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00200"},{"key":"ref27","article-title":"Human motion diffusion as a generative prior","volume-title":"ICLR","author":"Shafir","year":"2024"},{"key":"ref28","article-title":"Towards open domain text-driven synthesis of multi-person motions","volume-title":"ECCV","author":"Shan","year":"2024"},{"key":"ref29","article-title":"Denoising diffusion implicit models","volume-title":"ICLR","author":"Song","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01466"},{"key":"ref31","article-title":"Human motion diffusion model","volume-title":"ICLR","author":"Tevet","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00051"},{"key":"ref33","article-title":"Intercontrol: Zero-shot human interaction generation by controlling every joint","volume-title":"NeurIPS","author":"Wang","year":"2024"},{"key":"ref34","article-title":"Omnicontrol: Control any joint at any time for human motion generation","volume-title":"ICLR","author":"Xie","year":"2024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00212"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR52733.2024.02101","article-title":"Inter-x: Towards versatile humanhuman interaction analysis","volume-title":"CVPR","author":"Xu","year":"2024"},{"key":"ref37","article-title":"Convolutional sequence generation for skeletonbased action synthesis","volume-title":"CVPR","author":"Yan","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01415"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00040"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3355414"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00982"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00626"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11443636.pdf?arnumber=11443636","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:23:05Z","timestamp":1777530185000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11443636\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.00994","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}