3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 2 cited
Omni-GAN: On the Secrets of cGANs and Beyond
Peng Zhou, Lingxi Xie, Bingbing Ni +2
The conditional generative adversarial network (cGAN) is a powerful tool of generating high-quality images, but existing approaches mostly suffer unsatisfying performance or the ri…
cs.CV2020★ 3 cited
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Peng Zhou, Lingxi Xie, Xiaopeng Zhang +2
Conditional Generative Adversarial Networks (cGAN) were designed to generate images based on the provided conditions, \eg, class-level distributions. However, existing methods have…