This repo is developed and maintained by @siddhantpp and @pranitkothari for Stanford course CS230 - Deep Learning.
UiGAN is further divided into UiStyleGAN and UiCodeGAN.
Currently our work on UiStyleGAN is in the experimental phase and is based on Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks and its PyTorch implementation for CycleGAN and pix2pix.
Similarly, UiCodeGAN is also experimentally based on pix2code and screenshotToCode