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Shi-Lin Hu

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Preprint Aug 2026

Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case

The results suggest that commercial vision-language models do not replace classic low-level vision priors; instead, such priors remain useful for constraining and steering physically underconstrained generation.

Shi-Lin Hu, Jing-Yi Xu, Dimitris Samaras et al. · 1 citation

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