Gradient Regularized GAN
Code for the regularizer proposed in the NIPS 2017 paper on "Gradient descent GAN optimization is locally stable" arXiv:1706.04156
The code for the Gaussian experiments is based on https://github.com/poolio/unrolled_gan but modified to reflect the parameters specified in the Unrolled GANs paper arxiv:1611.02163. The experiments for our paper were performed on Tensorflow 1.1.0 and Keras 1.2.
python <filename>.py where
<filename> is either
gaussian-toy-regularized.py to run the unrolled GAN and the gradient-norm-regularized GAN respectively.