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To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many.
Guided image generation with conditional invertible neural networks
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Density estimation using real nvp
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A weighted variational model for simultaneous reflectance and illumination estimation
Fu, X.; Zeng, D.; Huang, Y.; Zhang, X.-P.; and Ding, X. 2016 · 2016
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LIME: Low-light image enhancement via illumination map estimation
Guo, X.; Li, Y.; and Ling, H. 2016 · 2016
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LLNet: A deep autoencoder approach to natural low-light image enhancement
Lore, K. G.; et al. 2017 · 2017
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Msr-net: Low-light image enhancement using deep convolutional network
Shen, L.; Yue, Z.; Feng, F.; Chen, Q.; Liu, S.; and Ma, J. 2017 · 2017
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LLCNN: A convolutional neural network for low-light image enhancement
Tao, L.; Zhu, C.; Xiang, G.; Li, Y.; Jia, H.; and Xie, X. 2017 · 2017
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A bio-inspired multi-exposure fusion framework for low-light image enhancement
Ying, Z.; Li, G.; and Gao, W. 2017 · 2017
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Learning to see in the dark
Chen, C.; Chen, Q.; Xu, J.; and Koltun, V. 2018 · 2018
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Glow: Generative flow with invertible 1x1 convolutions
Kingma, D. P.; and Dhariwal, P. 2018 · 2018
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MBLLEN: Low-Light Image/Video Enhancement Using CNNs
Lv, F.; Lu, F.; Wu, J.; and Lim, C. 2018 · 2018
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Joint enhancement and denoising method via sequential decomposition
Ren, X.; Li, M.; Cheng, W.-H.; and Liu, J. 2018 · 2018
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Conditional density estimation with bayesian normalising flows
Trippe, B. L.; and Turner, R. E. 2018 · 2018
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Esrgan: Enhanced super-resolution generative adversarial networks
Wang, X.; Yu, K.; Wu, S.; Gu, J.; Liu, Y.; Dong, C.; Qiao, Y.; and Change Loy, C. 2018 · 2018
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Tails of lipschitz triangular flows
Jaini, P.; Kobyzev, I.; Yu, Y.; and Brubaker, M. 2020 · 2020
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Normalizing flows: An introduction and review of current methods
Kobyzev, I.; Prince, S.; and Brubaker, M. 2020 · 2020
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Srflow: Learning the super-resolution space with normalizing flow
Lugmayr, A.; Danelljan, M.; Van Gool, L.; and Timofte, R. 2020 · 2020
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C-flow: Conditional generative flow models for images and 3d point clouds
Pumarola, A.; Popov, S.; Moreno-Noguer, F.; and Ferrari, V. 2020 · 2020
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Invertible image rescaling
Xiao, M.; Zheng, S.; Liu, C.; Wang, Y.; He, D.; Ke, G.; Bian, J.; Lin, Z.; and Liu, T.-Y. 2020 · 2020
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From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement
Yang, W.; Wang, S.; Fang, Y.; Wang, Y.; and Liu, J. 2020 · 2020
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Wei, C.; Wang, W.; Yang, W.; and Liu, J. 2018 · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
Cited alongside, same era.
Noise flow: Noise modeling with conditional normalizing flows
Abdelhamed, A.; Brubaker, M. A.; and Brown, M. S. 2019 · 2019
Cited alongside, same era.
Conditional adversarial generative flow for controllable image synthesis
Liu, R.; Liu, Y.; Gong, X.; Wang, X.; and Li, H. 2019 · 2019
Cited alongside, same era.
Low-light image enhancement via a deep hybrid network
Ren, W.; Liu, S.; Ma, L.; Xu, Q.; Xu, X.; Cao, X.; Du, J.; and Yang, M.-H. 2019 · 2019
Cited alongside, same era.
Pointflow: 3d point cloud generation with continuous normalizing flows
Yang, G.; Huang, X.; Hao, Z.; Liu, M.-Y.; Belongie, S.; and Hariharan, B. 2019 · 2019
Cited alongside, same era.
Kindling the darkness: A practical low-light image enhancer
Zhang, Y.; et al. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Enlightengan: Deep light enhancement without paired supervision
Jiang, Y.; Gong, X.; Liu, D.; Cheng, Y.; Fang, C.; Shen, X.; Yang, J.; Zhou, P.; and Wang, Z. 2021 · 2021
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Attention guided low-light image enhancement with a large scale low-light simulation dataset
Lv, F.; Li, Y.; and Lu, F. 2021 · 2021
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Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
Risheng, L.; Long, M.; Jiaao, Z.; Xin, F.; and Zhongxuan, L. 2021 · 2021
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Deflow: Learning complex image degradations from unpaired data with conditional flows
Wolf, V.; Lugmayr, A.; Danelljan, M.; Van Gool, L.; and Timofte, R. 2021 · 2021
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Beyond Brightening Low-light Images
Zhang, Y.; Guo, X.; Ma, J.; Liu, W.; and Zhang, J. 2021 · 2021
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Progressive retinex: Mutually reinforced illumination-noise perception network for low-light image enhancement
Wang, Y.; Cao, Y.; Zha, Z.-J.; Zhang, J.; Xiong, Z.; Zhang, W.; and Wu, F. 2019b · 2023
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Learning a deep single image contrast enhancer from multi-exposure images
Cai, J.; Gu, S.; and Zhang, L. 2018 · 2062
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