URHead: A Unified UV-Space Representation for Joint Mesh-3DGS Optimization in Head Avatars
We present URHead, a unified representation for high-fidelity and animatable head avatars that fundamentally redefines mesh-Gaussian integration. While mesh-based methods offer precise geometric control but lack photorealistic detail, and Gaussian-based approaches achieve photorealism but suffer from poor structural consistency, existing hybrid solutions fail to fully leverage their complementary strengths. Our key contribution is a UV-space unification where both representations share a common UV parameterization. Through joint optimization with adaptive gaussian sampling, our method automatically learns to disentangle and allocate appropriate roles to each component. URHead maintains fu...
| Authors | Seonghak Lee, Junhee Cho, Jisoo Park et al. |
|---|---|
| Primary category | cs.GR |
| Published | 8 July 2026 |
| Last updated at source | 4 August 2026 |
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