Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
titled “Wasserstein GAN”. In this paper, the authors proposed a modification to the traditional GAN objective function, which uses the Wasserstein distance instead of the Jenson-Shannon divergence. They also introduced a weight clipping technique to enforce the Lipschitz constraint of the