most citedMMGAN: Generative Adversarial Networks for Multi-Modal Distributions

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 8 cited

MMGAN: Generative Adversarial Networks for Multi-Modal Distributions

Teodora Pandeva, Matthias Schubert

Over the past years, Generative Adversarial Networks (GANs) have shown a remarkable generation performance especially in image synthesis. Unfortunately, they are also known for hav…