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Yuichi Tanaka

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Conference Open access Jul 2026

WREN: Low Light Image Enhancement Using Retinex Theory-Based Double U-Net-Like Structures

WREN is an LLIE neural network with double U-Net-like structures trained end-to-end with a scale-invariant loss function, which gives robustness against the illumination scaling, and achieves the state-of-the-art performance across multiple datasets.

Reina Kaneko, Junya Hara, Hiroshi Higashi et al. · 0 citations