Author

Xuan-Hua Yin

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Preprint Sep 2026

ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead

This work introduces ReAL, a training-free sampler that selects how far to advance using one shared lookahead, and shows that the discrepancy between uncorrected and lookahead-corrected endpoint proposals can be computed directly from the observed velocity mismatch and the candidate span beyond the lookahead.

Xuan-Hua Yin, Chuanzhi Xu, Hao-Xian Zhou et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PrefLUT: Reusable and Refinable Personalized Color Editing from Pairwise Preferences

PrefLUT is introduced, a reusable and refinable user-preference modeling framework for deployable 3D LUTs, encoding ordered preferred/non-preferred image pairs into a lightweight Reusable User Profile that is reused across queries and refined using additional user preference pairs, without per-user optimization.

Chuanzhi Xu, Lang-Yi Chen, Cheng-Kun Yue et al. · 0 citations