2 papers
cs.CV2020
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
Gulcin Baykal, Furkan Ozcelik, Gozde Unal
Generative Adversarial Networks (GANs) have become the most used networks towards solving the problem of image generation. Self-supervised GANs are later proposed to avoid the cata…
cs.CV2020
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
Gulcin Baykal, Gozde Unal
Generative Adversarial Networks (GANs) triggered an increased interest in problem of image generation due to their improved output image quality and versatility for expansion towar…