Author

Zhibin Wang

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Preprint Aug 2026

Model the Edit, Not the Image: Visual Autoregressive Editing from a Source-Centric Perspective

This work takes a source-centric perspective on VAR editing, in which the encoded source image tokens serve as the primary visual state and the editing process focuses on condition-induced changes, and proposes EditMod, which compares source- and target-conditioned predictions under a shared autoregressive context.

Hongyi Fang, Chu-Wen Xie, Ben-Jia Zhou et al. · 0 citations

Preprint Aug 2026

SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents

SPAE employs a compact bottleneck to distill stable semantic information while suppressing high-frequency components, thereby improving the alignment between DiT-generated latents and encoder latents, and achieves a favorable balance among visual understanding, generation quality, and reconstruction fidelity.

Yi-Bin Huang, Ji-Xiang Hong, Zongzhao Li et al. · 0 citations