Quantitatively Evaluating GANs With Divergences Proposed for Training

Daniel Jiwoong Im, He Ma, Graham Taylor +1

Generative adversarial networks (GANs) have been extremely effective in approximating complex distributions of high-dimensional, input data samples, and substantial progress has be…