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Challenging illumination conditions (low-light, under-exposure and over-exposure) in the real world not only cast an unpleasant visual appearance but also taint the computer vision tasks.
An alternative technique for the computation of the designator in the retinex theory of color vision
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Carlo Tomasi and Roberto Manduchi · 1998
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Adaptive dynamic range imaging: optical control of pixel exposures over space and time
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Digital Image Processing (3rd Edition)
Rafael C. Gonzalez and Richard E. Woods · 2006
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Learning photographic global tonal adjustment with a database of input / output image pairs
Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand · 2011
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Automatic exposure correction of consumer photographs
Lu Yuan and Jian Sun · 2012
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Flexisp: A flexible camera image processing framework
Felix Heide and Steinberger et.al · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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U-net: Convolutional networks for biomedical image segmentation, 2015
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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A software platform for manipulating the camera imaging pipeline
Hakki Can Karaimer and Michael S. Brown · 2016
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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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Dslr-quality photos on mobile devices with deep convolutional networks
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, and Luc Van Gool · 2017
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Learning the image processing pipeline
H. Jiang, Q. Tian, J. Farrell, and B. A. Wandell · 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Learning to see in the dark
C. Chen, Q. Chen, J. Xu, and V. Koltun · 2018
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Bop: Benchmark for 6d object pose estimation
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders GlentBuch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, et al · 2018
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Exposure: A white-box photo post-processing framework
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, and Stephen Lin · 2018
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Mbllen: Low-light image/video enhancement using cnns
Feifan Lv, Feng Lu, Jianhua Wu, and Chongsoon Lim · 2018
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Distort-and-recover: Color enhancement using deep reinforcement learning
Jongchan Park, Joon-Young Lee, Donggeun Yoo, and In So Kweon · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 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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Deepexposure: Learning to expose photos with asynchronously reinforced adversarial learning
Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, and Bo Zhang · 2018
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Unprocessing images for learned raw denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T Barron · 2019
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Representative color transform for image enhancement
Hanul Kim, Su-Min Choi, Chang-Su Kim, and Yeong Jun Koh · 2021
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Colorization transformer
Manoj Kumar, Dirk Weissenborn, and Nal Kalchbrenner · 2021
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Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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Db-gan: Boosting object recognition under strong lighting conditions
Luca Minciullo, Fabian Manhardt, Kei Yoshikawa, Sven Meier, Federico Tombari, and Norimasa Kobori · 2021
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Learning exposure correction via consistency modeling
Ntumba Elie Nsampi, Zhongyun Hu, and Qing Wang · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
Cited alongside, same era.
Getting to know low-light images with the exclusively dark dataset
Yuen Peng Loh and Chee Seng Chan · 2019
Cited alongside, same era.
Underexposed photo enhancement using deep illumination estimation
Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, and Jiaya Jia · 2019
Cited alongside, same era.
Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
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Optical flow in the dark
Yinqiang Zheng, Mingfang Zhang, and Feng Lu · 2019
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Deep white-balance editing
Mahmoud Afifi and Michael S. Brown · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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ACDC: The adverse conditions dataset with correspondences for semantic driving scene understanding
Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2021
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Nighttime visibility enhancement by increasing the dynamic range and suppression of light effects
Aashish Sharma and Robby T. Tan · 2021
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Mlp-mixer: An all-mlp architecture for vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, and Alexey Dosovitskiy · 2021
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Transweather: Transformer-based restoration of images degraded by adverse weather conditions
Jeya Maria Jose Valanarasu, Rajeev Yasarla, and Vishal M Patel · 2021
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Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
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Invertible image signal processing
Yazhou Xing, Zian Qian, and Qifeng Chen · 2021
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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 · 2021
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Tip-adapter: Training-free clip-adapter for better vision-language modeling
Renrui Zhang, Rongyao Fang, Peng Gao, Wei Zhang, Kunchang Li, Jifeng Dai, Yu Qiao, and Hongsheng Li · 2021
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Auto white-balance correction for mixed-illuminant scenes
Mahmoud Afifi, Marcus A. Brubaker, and Michael S. Brown · 2022
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Le-gan: Unsupervised low-light image enhancement network using attention module and identity invariant loss
Ying Fu, Yang Hong, Linwei Chen, and Shaodi You · 2022
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On the connection between local attention and dynamic depth-wise convolution
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Uniformer: Unifying convolution and self-attention for visual recognition
Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, and Yu Qiao · 2022
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Maxim: Multi-axis mlp for image processing
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, and Houqiang Li · 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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Learning to adapt to light, 2022
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Monodetr: Depth-aware transformer for monocular 3d object detection
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