Pix2Pix implementation

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)

Credits

Image-to-Image Translation with Conditional Adversarial Networks, arXiv:1611.07004