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Preprint Oct 2026

Diagnose-to-Generate: Eliminating Structural Distortions in Flow Models via Patch-Level Grounded Alignment

Flow-based image generators achieve strong semantic synthesis but still produce localized structural distortions, such as malformed hands and limbs. Existing post-training methods typically optimize global scalar rewards, which provide weak spatial credit assignment and may alter well-formed regions while correcting lo...

Yi-Fan Li, Li-Shuai Gao, Tong Zhang et al. · 0 citations
Preprint Sep 2026

PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion

Representation alignment (REPA) accelerates diffusion transformer training, but its alignment targets are almost exclusively semantic encoders such as DINOv2 and CLIP. Recent analysis points to spatial structure, not global semantics, as the carrier of the alignment effect, yet dense-prediction foundation models traine...

Lehan Yang, Dai-Qing Qi, Wen-Hao Zhang et al. · 0 citations

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