Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion

Kensuke Nakamura, Simon Korman, Byung-Woo Hong

Generative adversarial network (GAN) is a framework for generating fake data using a set of real examples. However, GAN is unstable in the training stage. In order to stabilize GAN…