A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation.
arXiv:2610.37110v1 Announce Type: cross Abstract: Distribution-matching distillation enables high-quality image generation in only a few denoising steps. However, distilled student models often map different initial noise samples to similar outputs under the s
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