A Variational Inequality Perspective on Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Consistency-diversity-realism Pareto fronts of conditional image generative models
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Classification Representations Can be Reused for Downstream Generations
Contrastive Search Is What You Need For Neural Text Generation