2018
MGAN: Training Generative Adversarial Nets with Multiple Generators
ICLR 2018poster
We propose in this paper a new approach to train the Generative Adversarial Nets (GANs) with a mixture of generators to overcome the mode collapsing problem. The main intuition is to employ multiple generators, instead of using a single one as in the original GAN. The idea is simple, yet proven to b…