Xiaochen Zhao, Lizhen Wang, Jingxiang Sun, Hongwen Zhang, Jinli Suo, Yebin Liu
Fig. 1. Our method is able to synthesize high-resolution, photo-realistic and view-consistent head images, achieving fine-grained control over head poses and facial expressions.
The Facial Model Conditioned Neural Radiance Field (NeRF) combines the expressiveness of NeRF and the prior information from a parametric template to model an animatable 3D human head avatar. By incorporating a synthetic-renderings-based condition method, the prior information is fused into the implicit field without compromising its flexibility. The proposed method achieves high-resolution, realistic, and view-consistent synthesis of dynamic head appearance, outperforming previous methods in 3D head avatar animation.