Pix2pix GAN Code Overview

In this page I describe the details of my implementation of the Image-to-Image Translation with Conditional Adversarial Networks paper by Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. 

This particular GAN (General Adversarial Network), learns a mapping between an image X to an image Y, where X is a different representation of Y. In their paper, Isola et al use this GAN to map from building facades to building images. 

 i will update this over the next few weeks when i have more time.

in the meantime, check out my implementation of pix2pix on github