SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation 事件

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation arXiv:2605.30116v1 Announce Type: new Abstract: Distribution Matching Distillation (DMD) is a widely used paradigm for accelerating inference in few-step video diffusion models. However, DMD-style video distillation faces two coupled challenges: the fake score must track a continuously evolving generator, making training costly when frequent updates are required, while reverse-KL-style matching can be mode-seek