{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T02:05:35Z","timestamp":1779501935172,"version":"3.53.1"},"reference-count":22,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T00:00:00Z","timestamp":1779408000000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP25K15401"],"award-info":[{"award-number":["JP25K15401"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer Animation &amp;amp; Virtual"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Real\u2010time character animation requires generating natural motions while preserving diverse walking styles under user control. Phase\u2010based representations are commonly employed in motion generation frameworks to control periodic motions such as walking; however, existing approaches face a trade\u2010off between preserving fine\u2010grained local periodic details and maintaining coherent whole\u2010body motion. Methods focusing on local periodic features often insufficiently represent other joints, while global phase representations tend to smooth out stylistic details, leading to style homogenization. This paper proposes an end\u2010effector\u2010aware phase manifold learning framework that balances local stylistic features and global motion consistency. The proposed method employs a two\u2010stage training strategy that first learns local periodic characteristics of end\u2010effectors and then integrates full\u2010body periodicity while fixing the learned local representations. In addition, we introduce an angular velocity\u2010based phase representation, which more directly captures the rotational characteristics of walking motions than linear velocity. Experimental results demonstrate improved style preservation for gesture\u2010dominant motions while generating stable whole\u2010body walking motions.<\/jats:p>","DOI":"10.1002\/cav.70126","type":"journal-article","created":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T01:36:12Z","timestamp":1779500172000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diverse Locomotion Styles From Linear\u2010 and Angular\u2010Velocity Phase Manifolds"],"prefix":"10.1002","volume":"37","author":[{"given":"Seungmoo","family":"Jung","sequence":"first","affiliation":[{"name":"Graduate School of Arts and Sciences The University of Tokyo  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1635-3818","authenticated-orcid":false,"given":"Takashi","family":"Kanai","sequence":"additional","affiliation":[{"name":"Graduate School of Arts and Sciences The University of Tokyo  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,22]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392440"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073663"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3522618"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530178"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566606"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/345370.345409"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566605"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275071"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356501"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392450"},{"key":"e_1_2_11_12_1","first-page":"293","volume-title":"Proc. European Conference on Computer Vision","author":"Le N.","year":"2024"},{"key":"e_1_2_11_13_1","unstructured":"M.Pegoraro E.Atherton B.Roy A.Khani andA.Rampini \u201cFunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds \u201d arXiv Preprint arXiv:2512.09423 2025."},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2025.104333"},{"key":"e_1_2_11_15_1","first-page":"22690","volume-title":"Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Ji B.","year":"2025"},{"key":"e_1_2_11_16_1","volume-title":"The Thirty\u2010Ninth Annual Conference on Neural Information Processing Systems","author":"Au H. Y.","year":"2025"},{"key":"e_1_2_11_17_1","unstructured":"W.Wan Y.Huang S.Wu et al. \u201cDiffusion\u2010Phase: Motion Diffusion in Frequency Domain \u201d arXiv Preprint arXiv:2312.04036 2023."},{"key":"e_1_2_11_18_1","first-page":"5745","volume-title":"Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Zhou Y.","year":"2019"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.1998.10487493"},{"key":"e_1_2_11_20_1","first-page":"3942","volume-title":"Proc. 32nd AAAI Conference on Artificial Intelligence","author":"Perez E.","year":"2018"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14645"},{"key":"e_1_2_11_22_1","first-page":"12116","volume-title":"Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Gopalakrishnan A.","year":"2019"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3516429"}],"container-title":["Computer Animation and Virtual Worlds"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/cav.70126","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/cav.70126","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/cav.70126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T01:36:14Z","timestamp":1779500174000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/cav.70126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":22,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1002\/cav.70126"],"URL":"https:\/\/doi.org\/10.1002\/cav.70126","archive":["Portico"],"relation":{},"ISSN":["1546-4261","1546-427X"],"issn-type":[{"value":"1546-4261","type":"print"},{"value":"1546-427X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"2026-04-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-13","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70126"}}