LiWGAN: A Light Method to Improve the Performance of Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203065
Abstract: Generative adversarial networks (GANs) gained tremendous growth due to the potency and efficiency in producing realistic samples. This study proposes a light-weight GAN (LiWGAN) to learn non-image synthesis with minimum computational time for less power… read more here.
Keywords: fid score; time; generative adversarial; image ... See more keywords