Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching

Cheng Lu, Kaiwen Zheng, Fan Bao +3

Score-based generative models have excellent performance in terms of generation quality and likelihood. They model the data distribution by matching a parameterized score network w…