FRGAN: A Blind Face Restoration with Generative Adversarial Networks

Figure 1

Reconstruction process of low-quality face through FRGAN. Firstly, the position information and orientation vector of face key points are determined by face pose estimation. Then, the attitude transformation of the guide face is carried out through PTNet. Finally, FaceGAN generates a clear face.