CANDLE uses DINOv3 semantic features as illumination-invariant priors plus custom decoder refinements to normalize images under colored ambient lighting, reporting a 1.22 dB PSNR gain and strong challenge rankings.
Deshadownet: A multi-context embedding deep network for shadow removal
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CANDLE: Illumination-Invariant Semantic Priors for Color Ambient Lighting Normalization
CANDLE uses DINOv3 semantic features as illumination-invariant priors plus custom decoder refinements to normalize images under colored ambient lighting, reporting a 1.22 dB PSNR gain and strong challenge rankings.