Noise Model Effect upon the GAN-Synthesized Images

Abstract

The article is devoted to studying of the images synthesized by Generative Adversarial Networks (GAN). The investigated networks are stimulated with the noise-like vectors of random samples fed into their inputs. The influence of changes of input noise parameters upon the properties of synthesized images is of primary interest in this research.