Paribesh Regmi

Shortcut Diffusion Training With Cumulative Consistency Loss: An Optimal Control View

This paper forms few-step generation as a controlled base generative process, and shows that self-consistency loss can be understood through the lens of optimal control, and draws a connection between this approach and reinforcement learning, potentially opening the door to a new set of approaches for few-step generation.