WGAN 2017. 01 Wasserstein GAN https://arxiv.org/abs/1701.07875 Wasserstein GAN We introduce a new algorithm named WGAN, an alternative to traditional GAN training. In this new model, we show that we can improve the stability of learning, get rid of problems like mode collapse, and provide meaningful learning curves useful for debuggi arxiv.org 참고한 블로그 : https://jonathan-hui.medium.com/gan-wasser..