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Binhao Guan

1 accepted papers

2025

Learning to See in the Extremely Dark

ICCV 2025poster

Learning-based methods have made promising advances in low-light RAW image enhancement, while their capability to extremely dark scenes where the environmental illuminance drops as low as 0.0001 lux remains to be explored due to the lack of corresponding datasets. To this end, we propose a paired-to…