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Jinglun Li

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Preprint Aug 2026

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching

Structural Parameter-free Affinity Regularization (SPARE), a regularizer that matches the pairwise affinities of intermediate tokens to those of the clean latents across images, is proposed, a regularizer that attains the lowest FID among parameter-free regularizers in every tested setting.

Zong-Wei Hong, Jinglun Li, Shen Zhang et al. · 0 citations