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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| Main Authors: | Xiaoyu Su, Hyung-Gi Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10734093/ |
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