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Purify Before You Align: Improving Representation Alignment for Diffusion Models

arXiv:2610.20761v1 Announce Type: new Abstract: Representation alignment improves and accelerates diffusion training by encouraging intermediate features to match a pretrained visual encoder. However, standard alignment matches pretrained representations without distinguishing what information may…

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  1. 2026-10-16 04:00 · arXiv cs.CV
    Purify Before You Align: Improving Representation Alignment for Diffusion Models

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