Yanxiang Gong

Testing Generated Distributions in GANs to Penalize Mode Collapse

Mode collapse remains the primary unresolved challenge within generative adversarial networks (GANs). In this work, we introduce an innovative approach that supplements the discriminator by additionally enforcing the similarity between the generated and real distributions. We implement a one-sample…