Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

Haoran You, Yu Cheng, Tianheng Cheng +2

Recent techniques built on Generative Adversarial Networks (GANs), such as Cycle-Consistent GANs, are able to learn mappings among different domains built from unpaired datasets, t…