WGAN-GP (Wasserstein GAN + Gradient Penalty)

• This is an implementation of the Wasserstein GAN with gradient penalty (WGAN-GP) algorithm for generating anime faces using Tensorflow. The dataset used for this project is the Anime Faces dataset.

The Output Given is very pleasing based on Visual Inspection

Image After 1st Epoch

Image After 80 Epochs