CVPR2025
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
Xuanchen Li, Jianyu Wang, Yuhao Cheng, Yikun Zeng, Xingyu Ren, Wenhan Zhu, Weiming Zhao, Yichao Yan
摘要
Figure 1 . We present TexTalk4D, a high-precision 4D audio-mesh-texture-aligned dataset consisting of 100 minutes of scan-level meshes with detailed 8K textures. Based on the dataset, we present TexTalker to generate geometry and aligned dynamic textures from speech simultaneously, advancing towards highly personalized textured facial animation.