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Automatic Stylized Action Generation in Animation Using Deep Learning

The style of animation plays a pivotal role in character animation, reflecting various aspects of a character such as emotions, personality, or traits. However, capturing these stylized actions is challenging due to the subjective perceptions of human observers and the resource-intensive nature of t...

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Autors principals: Xiaoyu Su, Hyung-Gi Kim
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2024-01-01
Col·lecció:IEEE Access
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Accés en línia:https://ieeexplore.ieee.org/document/10734093/
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