EnlightenGAN: Deep Light Enhancement without Paired Supervision

17 Jun 2019Yifan JiangXinyu GongDing LiuYu ChengChen FangXiaohui ShenJianchao YangPan ZhouZhangyang Wang

Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As one such example, this paper explores the low-light image enhancement problem, where in practice it is extremely challenging to simultaneously take a low-light and a normal-light photo of the same visual scene... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Low-Light Image Enhancement AFLW (Zhang CVPR 2018 crops) enligh 14 gestures accuracy 1 # 1