Author

Shunqi Mao

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Preprint Aug 2026

DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models

Few-step text-to-image models increasingly replace slower generators, yet acceleration can silently change distributions over unspecified attributes even when individual outputs remain plausible and aligned. We call these distributions semantic defaults and their change under replacement semantic default shift. Existin...

Xuan-Hua Yin, Chuanzhi Xu, Shunqi Mao et al. · 2 citations

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