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Capturing images is a key part of automation for high-level tasks such as scene text recognition.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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A dynamic histogram equalization for image contrast enhancement
Mohammad Abdullah-Al-Wadud, Md Hasanul Kabir, M Ali Akber Dewan, and Oksam Chae · 2007
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Brightness preserving dynamic histogram equalization for image contrast enhancement
Haidi Ibrahim and Nicholas Sia Pik Kong · 2007
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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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Mean squared error: Love it or leave it? a new look at signal fidelity measures
Zhou Wang and Alan C Bovik · 2009
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A modified psnr metric based on hvs for quality assessment of color images
Prateek Gupta, Priyanka Srivastava, Satyam Bhardwaj, and Vikrant Bhateja · 2011
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End-to-end scene text recognition
Kai Wang, Boris Babenko, and Serge Belongie · 2011
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Scene text recognition using higher order language priors
Anand Mishra, Karteek Alahari, and CV Jawahar · 2012
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Icdar 2013 robust reading competition
Dimosthenis Karatzas, Faisal Shafait, Seiichi Uchida, Masakazu Iwamura, Lluis Gomez i Bigorda, Sergi Robles Mestre, Joan Mas, David Fernandez Mota, Jon Almazan Almazan, and Lluis Pere De Las Heras · 2013
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Recognizing text with perspective distortion in natural scenes
Trung Quy Phan, Palaiahnakote Shivakumara, Shangxuan Tian, and Chew Lim Tan · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Fast burst images denoising
Ziwei Liu, Lu Yuan, Xiaoou Tang, Matt Uyttendaele, and Jian Sun · 2014
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Strokelets: A learned multi-scale representation for scene text recognition
Cong Yao, Xiang Bai, Baoguang Shi, and Wenyu Liu · 2014
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A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation
Xueyang Fu, Yinghao Liao, Delu Zeng, Yue Huang, Xiao-Ping Zhang, and Xinghao Ding · 2015
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How (not) to train your generative model: Scheduled sampling, likelihood, adversary?
Ferenc Huszár · 2015
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Icdar 2015 competition on robust reading
Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman Ghosh, Andrew Bagdanov, Masakazu Iwamura, Jiri Matas, Lukas Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, et al · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord, and Matthias Bethge · 2015
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Lime: Low-light image enhancement via illumination map estimation
Xiaojie Guo, Yu Li, and Haibin Ling · 2016
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Burst photography for high dynamic range and low-light imaging on mobile cameras
Samuel W Hasinoff, Dillon Sharlet, Ryan Geiss, Andrew Adams, Jonathan T Barron, Florian Kainz, Jiawen Chen, and Marc Levoy · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 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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Low-light image enhancement using variational optimization-based retinex model
Seonhee Park, Soohwan Yu, Byeongho Moon, Seungyong Ko, and Joonki Paik · 2017
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Icdar2017 competition on reading chinese text in the wild (rctw-17)
Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang, Pei Xu, Linyan Cui, Serge Belongie, Shijian Lu, and Xiang Bai · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Generative adversarial network-based image super-resolution using perceptual content losses
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, and Jong-Seok Lee · 2018
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Dark model adaptation: Semantic image segmentation from daytime to nighttime
Dengxin Dai and Luc Van Gool · 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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Burst denoising with kernel prediction networks
Ben Mildenhall, Jonathan T Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, and Robert Carroll · 2018
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On the suitability of lp-norms for creating and preventing adversarial examples
Mahmood Sharif, Lujo Bauer, and Michael K Reiter · 2018
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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
Cited alongside, same era.
Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Unprocessing images for learned raw denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T Barron · 2019
Cited alongside, same era.
Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art
Chee Kheng Chng, Yuliang Liu, Yipeng Sun, Chun Chet Ng, Canjie Luo, Zihan Ni, ChuanMing Fang, Shuaitao Zhang, Junyu Han, Errui Ding, et al · 2019
Cited alongside, same era.
Attention guided low-light image enhancement with a large scale low-light simulation dataset
Feifan Lv, Yu Li, and Feng Lu · 2021
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Dictionary-guided scene text recognition
Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, and Minh Hoai · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
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It gan do better: Gan-based detection of objects on images with varying quality
Charan D Prakash and Lina J Karam · 2021
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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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Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, and Xiang Bai · 2019
Cited alongside, same era.
Handheld mobile photography in very low light
Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T Barron, Dillon Sharlet, Ryan Geiss, et al · 2019
Cited alongside, same era.
Improving extreme low-light image denoising via residual learning
Paras Maharjan, Li Li, Zhu Li, Ning Xu, Chongyang Ma, and Yue Li · 2019
Cited alongside, same era.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
Rdgan: Retinex decomposition based adversarial learning for low-light enhancement
Junyi Wang, Weimin Tan, Xuejing Niu, and Bo Yan · 2019
Cited alongside, same era.
Esir: End-to-end scene text recognition via iterative image rectification
Fangneng Zhan and Shijian Lu · 2019
Cited alongside, same era.
Icdar 2019 robust reading challenge on reading chinese text on signboard
Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, et al · 2019
Cited alongside, same era.
Solving inverse problems in medical imaging with score-based generative models
Yang Song, Liyue Shen, Lei Xing, and Stefano Ermon · 2021
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Learning to efficiently sample from diffusion probabilistic models
Daniel Watson, Jonathan Ho, Mohammad Norouzi, and William Chan · 2021
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Physics-based noise modeling for extreme low-light photography
Kaixuan Wei, Ying Fu, Yinqiang Zheng, and Jiaolong Yang · 2021
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Better than reference in low-light image enhancement: conditional re-enhancement network
Yu Zhang, Xiaoguang Di, Bin Zhang, Ruihang Ji, and Chunhui Wang · 2021
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Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
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Omri Avrahami, Ohad Fried, and Dani Lischinski · 2022
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Scene text recognition with permuted autoregressive sequence models
Darwin Bautista and Rowel Atienza · 2022
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Diffusion models in vision: A survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, and Mubarak Shah · 2022
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Svtr: Scene text recognition with a single visual model
Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, and Yu-Gang Jiang · 2022
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Abinet++: Autonomous, bidirectional and iterative language modeling for scene text spotting
Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, and Yongdong Zhang · 2022
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Visual semantics allow for textual reasoning better in scene text recognition
Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, and Bo Du · 2022
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Cascaded diffusion models for high fidelity image generation
Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans · 2022
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Extremely low-light image enhancement with scene text restoration
Po-Hao Hsu, Che-Tsung Lin, Chun Chet Ng, Jie Long Kew, Mei Yih Tan, Shang-Hong Lai, Chee Seng Chan, and Christopher Zach · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
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Physics vs. learned priors: Rethinking camera and algorithm design for task-specific imaging
Tzofi Klinghoffer, Siddharth Somasundaram, Kushagra Tiwary, and Ramesh Raskar · 2022
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Diffusion models already have a semantic latent space
Mingi Kwon, Jaeseok Jeong, and Youngjung Uh · 2022
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List: low illumination scene text detector with automatic feature enhancement
Hang Liu, Mengke Yuan, Tong Wang, Peiran Ren, and Dong-Ming Yan · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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Accelerating diffusion models via early stop of the diffusion process
Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, and Bo Dai · 2022
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Dancing under the stars: video denoising in starlight
Kristina Monakhova, Stephan R Richter, Laura Waller, and Vladlen Koltun · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
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Robust object detection via adversarial novel style exploration
Wen Wang, Jing Zhang, Wei Zhai, Yang Cao, and Dacheng Tao · 2022
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Low-light image enhancement with normalizing flow
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, and Alex Kot · 2022
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Diffusion models for medical anomaly detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, and Philippe C Cattin · 2022
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Learning to kindle the starlight
Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, and Han Pan · 2022
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Low-light image and video enhancement: A comprehensive survey and beyond
Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, and Gaurav Gupta · 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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