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We propose a novel unsupervised backlit image enhancement method, abbreviated as CLIP-LIT, by exploring the potential of Contrastive Language-Image Pre-Training (CLIP) for pixel-level image enhancement.
Lightness and retinex theory
Edwin H. Land and John J. McCann · 1971
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Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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A weighted variational model for simultaneous reflectance and illumination estimation
Xueyang Fu, Delu Zeng, Yue Huang, Xiaoping Zhang, and Xinghao Ding · 2016
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A fusion-based method for single backlit image enhancement
Qiuhong Wang, Xueyang Fu, Xiao-Ping Zhang, and Xinghao Ding · 2016
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NTIRE 2017 challenge on single image super-resolution: Dataset and study
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Jianrui Cai, Shuhang Gu, and Lei Zhang · 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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Learning-based restoration of backlit images
Zhenhao Li and Xiaolin Wu · 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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Zero-shot restoration of back-lit images using deep internal learning
Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shaoming Zhang, and Shengjie Zhao · 2019
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Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
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Backlit images enhancement using global tone mappings and image fusion
Antoni Buades, Jose-Luis Lisani, Ana Belen Petro, and Catalina Sbert · 2020
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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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Learning multi-scale photo exposure correction
Mahmoud Afifi, Konstantinos G. Derpanis, Bjorn Ommer, and Michael S. Brown · 2021
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Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers
Deep symmetric network for underexposed image enhancement with recurrent attentional learning
Lin Zhao, Shaoping Lu, Tao Chen, Zhenglu Yang, and Ariel Shamir · 2021
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Backlitnet: A dataset and network for backlit image enhancement
Xiaoqian Lv, Shengping Zhang, Qinglin Liu, Haozhe Xie, Bineng Zhong, and Huiyu Zhou · 2022
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Toward fast, flexible, and robust low-light image enhancement
Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, and Zhongxuan Luo · 2022
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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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SNR-aware low-light image enhancement
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia · 2022
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Open-vocabulary DETR with conditional matching
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
Kevin Frans, Lisa B Soros, and Olaf Witkowski · 2021
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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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MUSIQ: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
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Low-light image and video enhancement using deep learning: A survey
Chongyi Li, Chunle Guo, Linhao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, and Chen Change Loy · 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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Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, and Chen Change Loy · 2022
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Extract free dense labels from clip
Chong Zhou, Chen Change Loy, and Bo Dai · 2022
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Conditional prompt learning for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
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Learning to prompt for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
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LEDNet: Joint low-light enhancement and deblurring in the dark
Shangchen Zhou, Chongyi Li, and Chen Change Loy · 2022
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Embedding fourier for ultra-high-definition low-light image enhancement
Chongyi Li, Chun-Le Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy · 2023
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Exploring clip for assessing the look and feel of images
Jianyi Wang, Kelvin CK Chan, and Chen Change Loy · 2023
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