2026
Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View
ICLR 2026poster
Although iterative denoising (i.e., diffusion/flow) methods offer strong generative performance, they suffer from low generation efficiency, requiring hundreds of steps of network forward passes to simulate a single sample. Mitigating this requires taking larger step-sizes during simulation, thereby…