CFG-Rejection filters low-quality diffusion samples early using the accumulated norm of the classifier-free guidance vector, improving quality scores without external reward models.
Denoising diffusion probabilistic models
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Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering
CFG-Rejection filters low-quality diffusion samples early using the accumulated norm of the classifier-free guidance vector, improving quality scores without external reward models.