Sanchit Agrawal

Towards Effective GANs for Data Distributions with Diverse Modes

Generative Adversarial Networks (GANs), when trained on large datasets with diverse modes, are known to produce conflated images which do not distinctly belong to any of the modes. We hypothesize that this problem occurs due to the interaction between two facts: (1) For datasets with large variety,…