As a community, we no longer hand-engineer our mapping functions, and this work suggests we can achieve reasonable results without hand-engineering our loss functions either. Phillip Isola, et al., "Image-to-Image Translation with Conditio…

Indeed, since the release of the pix2pix software associated with this paper, a large number of internet users (many of them artists) have posted their own experiments with our system, further demonstrating its wide applicability and ease …

We demonstrate that this approach is effective at synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks. Phillip Isola, et al., "Image-to-Image Translation with Conditional Adv…

This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. Phillip Isola, et al., "Image-to-Image Translation with Conditional Adversarial Networks" https://arxi…

These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. Phillip Isola, et al., "Image-to-Image Translation with Conditional Adversarial Networks" https://arxiv.org/a…

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. Phillip Isola, et al., "Image-to-Image Translation with Conditional Adversarial Networks" https://arxiv.org/abs/1611.07004…