CycleGAN with Wasserstein Loss
Adds Wasserstein Loss to CycleGAN. Implementation builds upon the pytorch-CycleGAN implementation.
This is work in progress and the convergence of Wasserstein GAN is not great right now.
- Add results.
- Use Improved Training of Wasserstein GAN.
- Experiment with different architectures.