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| Format: | Artículo Open Access |
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Wiley
2026
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| Online Access: | https://onlinelibrary.wiley.com/doi/10.1002/cav.70126 |
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| _version_ | 1867003439114878976 |
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| author | Seungmoo Jung Takashi Kanai |
| author_facet | Seungmoo Jung Takashi Kanai Seungmoo Jung Takashi Kanai |
| collection | Wiley Open Access |
| contents | Diverse Locomotion Styles From Linear‐ and Angular‐Velocity Phase Manifolds Seungmoo Jung Takashi Kanai Computer Animation and Virtual Worlds ABSTRACT Real‐time character animation requires generating natural motions while preserving diverse walking styles under user control. Phase‐based representations are commonly employed in motion generation frameworks to control periodic motions such as walking; however, existing approaches face a trade‐off between preserving fine‐grained local periodic details and maintaining coherent whole‐body 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‐effector‐aware phase manifold learning framework that balances local stylistic features and global motion consistency. The proposed method employs a two‐stage training strategy that first learns local periodic characteristics of end‐effectors and then integrates full‐body periodicity while fixing the learned local representations. In addition, we introduce an angular velocity‐based phase representation, which more directly captures the rotational characteristics of walking motions than linear velocity. Experimental results demonstrate improved style preservation for gesture‐dominant motions while generating stable whole‐body walking motions. 10.1002/cav.70126 http://creativecommons.org/licenses/by-nc/4.0/ |
| doi_str_mv | 10.1002/cav.70126 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_cav_70126 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by-nc/4.0/ |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Diverse Locomotion Styles From Linear‐ and Angular‐Velocity Phase Manifolds Seungmoo Jung Takashi Kanai Computer Animation and Virtual Worlds Diverse Locomotion Styles From Linear‐ and Angular‐Velocity Phase Manifolds Seungmoo Jung Takashi Kanai Computer Animation and Virtual Worlds ABSTRACT Real‐time character animation requires generating natural motions while preserving diverse walking styles under user control. Phase‐based representations are commonly employed in motion generation frameworks to control periodic motions such as walking; however, existing approaches face a trade‐off between preserving fine‐grained local periodic details and maintaining coherent whole‐body 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‐effector‐aware phase manifold learning framework that balances local stylistic features and global motion consistency. The proposed method employs a two‐stage training strategy that first learns local periodic characteristics of end‐effectors and then integrates full‐body periodicity while fixing the learned local representations. In addition, we introduce an angular velocity‐based phase representation, which more directly captures the rotational characteristics of walking motions than linear velocity. Experimental results demonstrate improved style preservation for gesture‐dominant motions while generating stable whole‐body walking motions. 10.1002/cav.70126 http://creativecommons.org/licenses/by-nc/4.0/ |
| title | Diverse Locomotion Styles From Linear‐ and Angular‐Velocity Phase Manifolds |
| topic | Computer Animation and Virtual Worlds |
| url | https://onlinelibrary.wiley.com/doi/10.1002/cav.70126 |