DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Conditional generative adversarial networks (cGANs) target at synthesizing diverse images given the input conditions and latent codes, but unfortunately, they usually suffer from the issue of mode collapse. To solve this issue, previous works [47], [22] mainly focused on encouraging the correlation between the latent codes and their generated images, …