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Scene text image super-resolution aims to increase the resolution and readability of the text in low-resolution images.
Super-resolution reconstruction of compressed video using transform-domain statistics
Bahadir K. Gunturk, Yucel Altunbasak, and Russell M. Mersereau · 2004
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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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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
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Non-local sparse models for image restoration
Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, and Andrew Zisserman · 2009
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Image super-resolution via sparse representation
Jianchao Yang, John Wright, Thomas S. Huang, and Yi Ma · 2010
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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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Deep features for text spotting
Max Jaderberg, Andrea Vedaldi, and Andrew Zisserman · 2014
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A robust arbitrary text detection system for natural scene images
Anhar Risnumawan, Palaiahankote Shivakumara, Chee Seng Chan, and Chew Lim Tan · 2014
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
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Boosting optical character recognition: A super-resolution approach
Chao Dong, Ximei Zhu, Yubin Deng, Chen Change Loy, and Yu Qiao · 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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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ICDAR2015 competition on text image super-resolution
Clément Peyrard, Moez Baccouche, Franck Mamalet, and Christophe Garcia · 2015
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Reading scene text in deep convolutional sequences
Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, and Xiaoou Tang · 2016
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Reading text in the wild with convolutional neural networks
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2016
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An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
Baoguang Shi, Xiang Bai, and Cong Yao · 2016
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Focusing attention: Towards accurate text recognition in natural images
Zhanzhan Cheng, Fan Bai, Yunlu Xu, Gang Zheng, Shiliang Pu, and Shuigeng Zhou · 2017
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Deep Laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 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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Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
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Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
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Toward real-world single image super-resolution: A new benchmark and a new model
Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, and Lei Zhang · 2019
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MORAN: A multi-object rectified attention network for scene text recognition
Canjie Luo, Lianwen Jin, and Zenghui Sun · 2019
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Novel positional encodings to enable tree-based transformers
Vighnesh Shiv and Chris Quirk · 2019
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Zoom to learn, learn to zoom
Xuaner Zhang, Qifeng Chen, Ren Ng, and Vladlen Koltun · 2019
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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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Learning to super-resolve blurry face and text images
Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, and Ming-Hsuan Yang · 2017
Cited alongside, same era.
CNN-based text image super-resolution tailored for OCR
Haochen Zhang, Dong Liu, and Zhiwei Xiong · 2017
Cited alongside, same era.
EAST: An efficient and accurate scene text detector
Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, and Jiajun Liang · 2017
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FSRNet: End-to-end learning face super-resolution with facial priors
Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, and Jian Yang · 2018
Cited alongside, same era.
AON: Towards arbitrarily-oriented text recognition
Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, and Shuigeng Zhou · 2018
Cited alongside, same era.
Arbitrary-oriented scene text detection via rotation proposals
Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, and Xiangyang Xue · 2018
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PlugNet: Degradation aware scene text recognition supervised by a pluggable super-resolution unit
Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, and Yaohong Huang · 2020
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Single image super-resolution via a holistic attention network
Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, and Haifeng Shen · 2020
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Collaborative deep learning for super-resolving blurry text images
Yuhui Quan, Jieting Yang, Yixin Chen, Yong Xu, and Hui Ji · 2020
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Scene text image super-resolution in the wild
Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, and Xiang Bai · 2020
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TextSR: Content-aware text super-resolution guided by recognition
Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, and Ping Luo · 2020
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Scene text telescope: Text-focused scene image super-resolution
Jingye Chen, Bin Li, and Xiangyang Xue · 2021
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Relative positional encoding for transformers with linear complexity
Antoine Liutkus, Ondřej Cıfka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, and Gael Richard · 2021
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Text prior guided scene text image super-resolution
Jianqi Ma, Shi Guo, and Lei Zhang · 2021
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Scene text image super-resolution via parallelly contextual attention network
Cairong Zhao, Shuyang Feng, Brian Nlong Zhao, Zhijun Ding, Jun Wu, Fumin Shen, and Heng Tao Shen · 2021
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