Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error

Farzan Farnia, Mohammad Jalali, Azim Ospanov

Deep generative models have achieved great success in producing high-quality samples, making them a central tool across machine learning applications. Beyond sample quality, an imp…