An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks

Makoto Takamoto, Yusuke Morishita

It is well-known that training of generative adversarial networks (GANs) requires huge iterations before the generator's providing good-quality samples. Although there are several…