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Recently, Transformer-based image restoration networks have achieved promising improvements over convolutional neural networks due to parameter-independent global interactions.
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Rich Franzen · 1999
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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 statistical evaluation of recent full reference image quality assessment algorithms
Hamid R Sheikh, Muhammad F Sabir, and Alan C Bovik · 2006
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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 O. Egiazarian · 2007
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Low-complexity single-image super-resolution based on nonnegative neighbor embedding
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Anchored neighborhood regression for fast example-based super-resolution
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Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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Adam: A method for stochastic optimization
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Chao Dong, Chen Change Loy, and Xiaoou Tang · 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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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Deep laplacian pyramid networks for fast and accurate super-resolution
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Enhanced deep residual networks for single image super-resolution
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Sketch-based manga retrieval using manga109 dataset
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Enhancenet: Single image super-resolution through automated texture synthesis
Mehdi SM Sajjadi, Bernhard Schölkopf, and Michael Hirsch · 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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Ntire 2017 challenge on single image super-resolution: Methods and results
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Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, and Baining Guo · 2020
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Attention is all you need
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Muhammad Haris, Greg Shakhnarovich, and Norimichi Ukita · 2018
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Local relation networks for image recognition
Han Hu, Zheng Zhang, Zhenda Xie, and Stephen Lin · 2019
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Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, and Wei Wu · 2019
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An image is worth 16x16 words: Transformers for image recognition at scale
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Burst image restoration and enhancement
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Blueprint separable residual network for efficient image super-resolution
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Restormer: Efficient transformer for high-resolution image restoration
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