Image-to-Image Translation with Conditional Adversarial NetworksExample results on several image-to-image translation problems. In each case we use the same architecture and objective, simply training on different data. We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mappi
