Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

Xuefeng Gao, Hoang M. Nguyen, Lingjiong Zhu

Score-based generative models (SGMs) is a recent class of deep generative models with state-of-the-art performance in many applications. In this paper, we establish convergence gua…