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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...

詳細記述

保存先:
書誌詳細
主要な著者: Xiaoyu Su, Hyung-Gi Kim
フォーマット: Artigo
言語:Inglês
出版事項: IEEE 2024-01-01
シリーズ:IEEE Access
主題:
オンライン・アクセス:https://ieeexplore.ieee.org/document/10734093/
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