AtG-ContextNet: a temporal attention and hybrid gating architecture for facial blendshape coefficient regression
Abstract Driving facial expressions is critical for digital animation, yet resource-constrained systems still rely heavily on linear blendshape models. Existing methods struggle with feature redundancy in high-dimensional landmark prediction and numerical instability in extreme expression regions. T...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-04-01
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| Col·lecció: | Journal of King Saud University: Computer and Information Sciences |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s44443-026-00699-2 |
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