Deep Learning, Artificial Intelligence, Convolutional Network, Super Resolution, Generative Adversarial.
Idea from relativistic GAN is used to let the discriminator predict relative realness instead of the absolute value. The perceptual loss of using the features before activation is used, which provides stronger supervision for brightness consistency and texture recovery. And finally, ESRGAN won the