Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
Networks (GANs), a popular deep learning architecture for generative tasks such as image synthesis. WGAN, or Wasserstein GAN, addresses the issue of stability in GANs training by using a different loss function called the Wasserstein distance. GPGAN, or Gradient Penalty GAN, is a modification of