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Low-Light Image Enhancement

6 papers with code · Computer Vision
Subtask of Image Enhancement

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EnlightenGAN: Deep Light Enhancement without Paired Supervision

17 Jun 2019yueruchen/EnlightenGAN

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?

IMAGE RESTORATION LOW-LIGHT IMAGE ENHANCEMENT

Deep Retinex Decomposition for Low-Light Enhancement

14 Aug 2018weichen582/RetinexNet

Based on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.

DENOISING LOW-LIGHT IMAGE ENHANCEMENT

Getting to Know Low-light Images with The Exclusively Dark Dataset

29 May 2018cs-chan/Exclusively-Dark-Image-Dataset

Thus, we propose the Exclusively Dark dataset to elevate this data drought, consisting exclusively of ten different types of low-light images (i. e. low, ambient, object, single, weak, strong, screen, window, shadow and twilight) captured in visible light only with image and object level annotations.

LOW-LIGHT IMAGE ENHANCEMENT OBJECT DETECTION

Kindling the Darkness: A Practical Low-light Image Enhancer

4 May 2019zhangyhuaee/KinD

It is worth to note that our network is trained with paired images shot under different exposure conditions, instead of using any ground-truth reflectance and illumination information.

LOW-LIGHT IMAGE ENHANCEMENT

Attention-guided Low-light Image Enhancement

2 Aug 2019Lvfeifan/MBLLEN

Other contributions of this paper include a decomposition-and-fusion design of the enhancement network and the reinforcement-net for further contrast enhancement.

 SOTA for Low-Light Image Enhancement on 3DMatch Benchmark (using extra training data)

DENOISING LOW-LIGHT IMAGE ENHANCEMENT

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

19 Jan 2020Li-Chongyi/Zero-DCE

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.

FACE DETECTION LOW-LIGHT IMAGE ENHANCEMENT