Understanding and Stabilizing GANs' Training Dynamics with Control Theory

Kun Xu, Chongxuan Li, Jun Zhu +1

Generative adversarial networks (GANs) are effective in generating realistic images but the training is often unstable. There are existing efforts that model the training dynamics…