Author

Dimitris Samaras

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#artificial intelligence Preprint Sep 2026

After a Decade: Bringing Shadow Removal into the Real World with Agentic Training Data

Shadow removal looks nearly solved on established benchmarks, yet remains brittle in the real world. Models have advanced; the paired training data they rely on have barely changed in nearly a decade. The reason is simple: obtaining a shadow-free target requires removing the occluder while keeping the scene, camera, an...

Shi-Lin Hu, Jing-Yi Xu, Dimitris Samaras et al. · 0 citations

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