Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

Ligong Han, Ruijiang Gao, Mun Kim +3

Conditional generative adversarial networks have shown exceptional generation performance over the past few years. However, they require large numbers of annotations. To address th…