GAN-Supervised Dense Visual Alignment

William Peebles, Jun-Yan Zhu, Richard Zhang +3

We propose GAN-Supervised Learning, a framework for learning discriminative models and their GAN-generated training data jointly end-to-end. We apply our framework to the dense vis…