Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent

Dong Wang, Xiaoqian Qin, Fengyi Song +1

Generative adversarial networks (GANs), famous for the capability of learning complex underlying data distribution, are however known to be tricky in the training process, which wo…