MOST : Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction
We introduce MOST, a novel MOtion diffuSion model via Temporal clip Banzhaf interaction, aimed at addressing the persistent challenge of generating human motion from rare language prompts. While previous approaches struggle with coarse-grained matching and overlook important semantic cues due to mot...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 10 vom: 13. Sept., Seite 8994-9007
|
| Auteur principal: |
Wang, Yin
(Auteur) |
| Autres auteurs: |
Li, Mu,
Leng, Zhiying,
Li, Frederick W B,
Liang, Xiaohui |
| Format: | Article en ligne
|
| Langue: | English |
| Publié: |
2025
|
| Accès à la collection: | IEEE transactions on visualization and computer graphics
|
| Sujets: | Journal Article |