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Image restoration aims to recover a high-quality clean image from its degraded version.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
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Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Contour detection and hierarchical image segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, and Jitendra Malik · 2010
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Augmented reality for restoration/reconstruction of artefacts with artistic or historical value
Giovanni Saggio, Davide Borra, et al · 2011
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Virtual restoration of deteriorated religious heritage objects using augmented reality technologies
Florin Girbacia, Silviu Butnariu, Alex Petre Orman, and Cristian Cezar Postelnicu · 2013
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
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Hypernetworks, 2016
David Ha, Andrew Dai, and Quoc V. Le · 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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Waterloo exploration database: New challenges for image quality assessment models
Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang · 2016
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Single image dehazing via multi-scale convolutional neural networks
Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Fixing weight decay regularization in adam
Ilya Loshchilov, Frank Hutter, et al · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
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Memnet: A persistent memory network for image restoration
Ying Tai, Jian Yang, Xiaoming Liu, and Chunyan Xu · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 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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Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 2018
Cited alongside, same era.
A general decoupled learning framework for parameterized image operators
Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, and Baoquan Chen · 2019
Cited alongside, same era.
Dynamic scene deblurring with parameter selective sharing and nested skip connections
Hongyun Gao, Xin Tao, Xiaoyong Shen, and Jiaya Jia · 2019
Cited alongside, same era.
Hypernetwork functional image representation
Sylwester Klocek, Łukasz Maziarka, Maciej Wołczyk, Jacek Tabor, Jakub Nowak, and Marek Śmieja · 2019
Cited alongside, same era.
Enhanced pix2pix dehazing network
Yanyun Qu, Yizi Chen, Jingying Huang, and Yuan Xie · 2019
Cited alongside, same era.
Semi-supervised transfer learning for image rain removal
Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, and Ying Wu · 2019
Tape: Task-agnostic prior embedding for image restoration
Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, and Qi Tian · 2022
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Deep generalized unfolding networks for image restoration
Chong Mou, Qian Wang, and Jian Zhang · 2022
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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 · 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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Hypernetwork-based adaptive image restoration
Shai Aharon and Gil Ben-Artzi · 2023
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Cited alongside, same era.
Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
Rajeev Yasarla and Vishal M Patel · 2019
Cited alongside, same era.
Residual non-local attention networks for image restoration
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, and Yun Fu · 2019
Cited alongside, same era.
An application performance optimization model of mobile augmented reality based on hd restoration
Xin Dang, Hai Wang, Jie Ren, and Le Chen · 2020
Cited alongside, same era.
Fd-gan: Generative adversarial networks with fusion-discriminator for single image dehazing
Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, and Yu Qiao · 2020
Cited alongside, same era.
On the modularity of hypernetworks
Tomer Galanti and Lior Wolf · 2020
Cited alongside, same era.
Multi-scale progressive fusion network for single image deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, and Junjun Jiang · 2020
Cited alongside, same era.
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, and David A Clifton · 2023
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Always clear days: Degradation type and severity aware all-in-one adverse weather removal
Pei Soo-Chang Chen Yu-Wei · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Autodir: Automatic all-in-one image restoration with latent diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, and Jinwei Gu · 2023
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Prompt-in-prompt learning for universal image restoration
Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, and Hongming Shan · 2023
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Controlling vision-language models for universal image restoration
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
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Promptrestorer: A prompting image restoration method with degradation perception
Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, and Junyang Chen · 2023
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Ingredient-oriented multi-degradation learning for image restoration
Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, and Feng Zhao · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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Instructir: High-quality image restoration following human instructions
Marcos V Conde, Gregor Geigle, and Radu Timofte · 2024
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Dynamic pre-training: Towards efficient and scalable all-in-one image restoration
Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2024
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Promptir: Prompting for all-in-one image restoration
Vaishnav Potlapalli, Syed Waqas Zamir, Salman H Khan, and Fahad Shahbaz Khan · 2024
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Instruct-ipt: All-in-one image processing transformer via weight modulation, 2024
Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, and Yunhe Wang · 2024
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All-in-one medical image restoration via task-adaptive routing, 2024
Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, and Yan Xu · 2024
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Efficient degradation-aware any image restoration
Eduard Zamfir, Zongwei Wu, Nancy Mehta, Danda Dani Paudel, Yulun Zhang, and Radu Timofte · 2024
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