Semi-supervised Cycle-GAN for face photo-sketch translation in the wild

Chaofeng Chen, Wei Liu, Xiao Tan, Kwan-Yee K. Wong

Abstract: Highlights•A semi-supervised learning framework based on Cycle-GAN for face sketch translation.•The network can be trained with lots of photos without GT, improving generalization.•A simple noise-injection strategy to solve invisible steganography in Cycle-GAN.