Deep Generative Models Course Project at TU Darmstadt.
The main goal of this project is to learn a conditional GAN that can interpolate between different types of food. We want to achieve fluid transitions between e.g.:
- Burger <-> Pizza
- Scraped from google with google-images-download
- Partly from PizzaGAN
Video results can be found here.
The code is based on a PyTorch implementation of Improved Training of Wasserstein GAN and a PyTorch implementation of Progressive Growing of GANs