This repository contains the code to implement Pix2Pix in Tensorflow using multiple different network architectures:
- CNN Autoencoder
- Deep CNN
- U-Net
- Res-Net
- Dense-Net
which can be trained either with a regression loss (L1/L2), with a generative loss (GAN), or with a linear combination of the two (Pix2Pix)
Image-to-Image Translation with Conditional Adversarial Networks, arXiv:1611.07004