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Understanding illumination and reducing the need for supervision pose a significant challenge in low-light enhancement.
Contrast-limited adaptive histogram equalization: Speed and effectiveness
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Zia-ur Rahman, Daniel J Jobson, and Glenn A Woodell · 2004
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Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand · 2011
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No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik · 2012
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Contrast enhancement based on layered difference representation of 2D histograms
Chulwoo Lee, Chul Lee, and Chang-Su Kim · 2013
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Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li · 2013
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Diederik P Kingma and Jimmy Ba · 2014
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Microsoft COCO: Common objects in context
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An efficient statistical method for image noise level estimation
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Perceptual quality assessment for multi-exposure image fusion
Kede Ma, Kai Zeng, and Zhou Wang · 2015
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LIME: Low-light image enhancement via illumination map estimation
Xiaojie Guo, Yu Li, and Haibin Ling · 2017
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Llnet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar · 2017
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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Structure-revealing low-light image enhancement via robust retinex model
Mading Li, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, and Zongming Guo · 2018
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On the evaluation of illumination compensation algorithms
Vassilios Vonikakis, Rigas Kouskouridas, and Antonios Gasteratos · 2018
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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Seeing motion in the dark
Chen Chen, Qifeng Chen, Minh N. Do, and Vladlen Koltun · 2019
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Learning to see moving objects in the dark
Haiyang Jiang and Yinqiang Zheng · 2019
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Zero-reference deep curve estimation for low-light image enhancement
Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters
Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He · 2020
Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement
Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, and Jianmin Jiang · 2022
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Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, Wesam Manassra† Prafulla Dhariwal, Casey Chu† Yunxin Jiao, and Aditya Ramesh · 2023
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Retinexformer: One-stage retinex-based transformer for low-light image enhancement
Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, and Yulun Zhang · 2023
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Learning a simple low-light image enhancer from paired low-light instances
Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, and Kai-Kuang Ma · 2023
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EnlightenGAN: Deep light enhancement without paired supervision
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang · 2021
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Zero-shot domain adaptation with a physics prior
Attila Lengyel, Sourav Garg, Michael Milford, and Jan C. van Gemert · 2021
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Learning to enhance low-light image via zero-reference deep curve estimation
Chongyi Li, Chunle Guo, and Chen Change Loy · 2021
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Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement
Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, and Zhongxuan Luo · 2021
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Deep denoising of flash and no-flash pairs for photography in low-light environments
Zhihao Xia, Michael Gharbi, Federico Perazzi, Kalyan Sunkavalli, and Ayan Chakrabarti · 2021
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Seeing in extra darkness using a deep-red flash
Jinhui Xiong, Jian Wang, Wolfgang Heidrich, and Shree K. Nayar · 2021
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R2RNet: Low-light image enhancement via real-low to real-normal network
Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu Zou, Fang Lin, and Songchen Han · 2023
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Learning profitable NFT image diffusions via multiple visual-policy guided reinforcement learning
Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, and Qi Zhang · 2023
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Low-light image enhancement with wavelet-based diffusion models
Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, and Shuaicheng Liu · 2023
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Flexicurve: Flexible piecewise curves estimation for photo retouching
Chongyi Li, Chunle Guo, Shangchen Zhou, Qiming Ai, Ruicheng Feng, and Chen Change Loy · 2023
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Iterative prompt learning for unsupervised backlit image enhancement
Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy · 2023
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Learning degradation-robust spatiotemporal frequency-transformer for video super-resolution
Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, and Dongmei Fu · 2023
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Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, and Baining Guo · 2023
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, and Mohammad Norouzi · 2023
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Learning semantic-aware knowledge guidance for low-light image enhancement
Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, and Heng Tao Shen · 2023
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Implicit neural representation for cooperative low-light image enhancement
Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, and Jian Zhang · 2023
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Diff-retinex: Rethinking low-light image enhancement with A generative diffusion model
Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, and Jiayi Ma · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
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Pyramid diffusion models for low-light image enhancement
Dewei Zhou, Zongxin Yang, and Yi Yang · 2023
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