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

Hu, Shilin et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
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 t
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