Pytorch-WGANGP
Pytorch implementation of Improved Training of Wasserstein GANs or WGAN-GP (Wasserstein GAN with Gradient Penalty) using DCGAN architecture for generating 64x64 images.
LSUN Dataset
To download LSUN dataset follow the steps at https://github.com/fyu/lsun
Change the DB variable to change the dataset.
For using the saved model to generate images, set LOAD_MODEL to True and EPOCHS to 0.
Generated Samples
LSUN-Bedroom
LSUN-Church
CelebA
