This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Hello,I am sorry to disturb you!I want to train deli_gan by cpu ,but there a lot of issues about it. should I modify the code ?