Adversarial symmetric GANs: bridging adversarial samples and adversarial networks

Faqiang Liu, Mingkun Xu, Guoqi Li +3

Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability. Despite many training strategies proposed to improve tra…