Noise Model Effect upon the GAN-Synthesized Images

Autor: V. O. Yachnaya, V. R. Lutsiv, E. N. Yablokov, M. A. Mikhalkova
Rok vydání: 2020
Předmět:
Zdroj: 2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF).
DOI: 10.1109/weconf48837.2020.9131529
Popis: 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.
Databáze: OpenAIRE