GaussianHead : High-fidelity Head Avatars with Learnable Gaussian Derivation
Creating lifelike 3D head avatars and generating compelling animations for diverse subjects remain challenging in computer vision. This paper presents GaussianHead, which models the active head based on anisotropic 3D Gaussians. Our method integrates a motion deformation field and a single-resolutio...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2025) vom: 17. Apr.
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| 1. Verfasser: |
Wang, Jie
(VerfasserIn) |
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| Weitere Verfasser: |
Xie, Jiu-Cheng,
Li, Xianyan,
Xu, Feng,
Pun, Chi-Man,
Gao, Hao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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