Self-Conditioned Generative Adversarial Networks for Image Editing

Yunzhe Liu, Rinon Gal, Amit H. Bermano +2

Generative Adversarial Networks (GANs) are susceptible to bias, learned from either the unbalanced data, or through mode collapse. The networks focus on the core of the data distri…