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CARE: Condition-Aware Representation Regularization for Diffusion Models

arXiv:2609.28561v1 Announce Type: new Abstract: Recent advances in diffusion models highlight the importance of representation regularization for improving sample quality and training efficiency. However, commonly used regularization methods often overlook the built-in conditions (such as labels or…

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  1. 2026-09-25 04:00 · arXiv cs.LG
    CARE: Condition-Aware Representation Regularization for Diffusion Models

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