The paper introduces SIED, a calibrated synthetic dataset for extremely low-light RAW enhancement down to 0.0001 lux, and a diffusion-based method with adaptive illumination correction that achieves state-of-the-art restoration.
Learning to see in the dark
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Learning to See in the Extremely Dark
The paper introduces SIED, a calibrated synthetic dataset for extremely low-light RAW enhancement down to 0.0001 lux, and a diffusion-based method with adaptive illumination correction that achieves state-of-the-art restoration.