CVPR2023
GANHead: Towards Generative Animatable Neural Head Avatars
Sijing Wu, Yichao Yan, Yunhao Li, Yuhao Cheng, Wenhan Zhu, Ke Gao, Xiaobo Li, Guangtao Zhai
Abstract
Figure 1. We propose GANHead to generate diverse head avatars with complete geometry and realistic texture. The generated avatars can be deformed to target poses and expressions through FLAME [22] parameters, which generalize well to unseen poses and expressions.