Inverting Generative Adversarial Renderer for Face Reconstruction

no code implementations • CVPR 2021 • Jingtan Piao, Keqiang Sun, KwanYee Lin, Quan Wang, Hongsheng Li

Since the GAR learns to model the complicated real-world image, instead of relying on the simplified graphics rules, it is capable of producing realistic images, which essentially inhibits the domain-shift noise in training and optimization.

Face Reconstruction