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Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

70 upvotes · 27 JUL 2026 · Bingnan Li, Haozhe Wang, Haozhong Xiong et al.

This paper investigates how to improve the adaptation of diffusion models in a way that doesn't rely on a classifier, and how to address a problem where the model can't accurately learn from its teacher. Practitioners might care about this because it could lead to more effective knowledge transfer in machine learning applications.

on-policy distillationcontinual learningdiffusion modelsguidancevelocity matching