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Generative models trained on extensive high-quality datasets effectively capture the structural and statistical properties of clean images, rendering them powerful priors for transforming degraded features into clean ones in image restoration.
Kodak lossless true color image suite
Rich Franzen · 1999
Earlier work this paper cites.
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
Earlier work this paper cites.
Variational bayesian blind deconvolution using a total variation prior
S. Derin Babacan, Rafael Molina, and Aggelos K. Katsaggelos · 2009
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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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Removing rain from a single image via discriminative sparse coding
Yu Luo, Yong Xu, and Hui Ji · 2015
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Clearing the skies: A deep network architecture for single-image rain removal
Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, and John William Paisley · 2016
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Rain streak removal using layer priors
Yu Li, Robby T. Tan, Xiaojie Guo, Jiangbo Lu, and M. S. Brown · 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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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2016
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Deep joint rain detection and removal from a single image
Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 2016
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Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John William Paisley · 2017
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras · 2017
Earlier work this paper cites.
A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown · 2018
Earlier work this paper cites.
Large scale gan training for high fidelity natural image synthesis
Andrew Brock · 2018
Earlier work this paper cites.
Challenges on large scale surveillance video analysis
Weitao Feng, Deyi Ji, Yiru Wang, Shuorong Chang, Hansheng Ren, and Weihao Gan · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Single image deraining: From model-based to data-driven and beyond
Wenhan Yang, Robby T. Tan, Shiqi Wang, Yuming Fang, and Jiaying Liu · 2019
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Image processing using multi-code gan prior
Jinjin Gu, Yujun Shen, and Bolei Zhou · 2020
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Zero-reference deep curve estimation for low-light image enhancement
Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong · 2020
Learning to deblur using light field generated and real defocus images
Lingyan Ruan, Bin Chen, Jizhou Li, and Miuling Lam · 2022
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Stripformer: Strip transformer for fast image deblurring
Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, and Chia-Wen Lin · 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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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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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2022
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
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Hinet: Half instance normalization network for image restoration
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, and Chengpeng Chen · 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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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2021
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Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Hameed Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 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 · 2022
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Ultra-high resolution segmentation with ultra-rich context: A novel benchmark
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, and Jieping Ye · 2023
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Diffbir: Towards blind image restoration with generative diffusion prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Wanli Ouyang, Yu Qiao, and Chao Dong · 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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Promptir: Prompting for all-in-one blind image restoration
V Potlapalli, SW Zamir, S Khan, and FS Khan · 2023
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Neumann network with recursive kernels for single image defocus deblurring
Yuhui Quan, Zicong Wu, and Hui Ji · 2023
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Learning semantic-aware knowledge guidance for low-light image enhancement
Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, and Heng Tao Shen · 2023
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Low-light image enhancement via structure modeling and guidance
Xiaogang Xu, Ruixing Wang, and Jiangbo Lu · 2023
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Adverse weather removal with codebook priors
Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, and Yun Liu · 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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Tianrun Chen, Ankang Lu, Lanyun Zhu, Chaotao Ding, Chunan Yu, Deyi Ji, Zejian Li, Lingyun Sun, Papa Mao, and Ying Zang · 2024
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Visual autoregressive modeling: Scalable image generation via next-scale prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, and Liwei Wang · 2024
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Selective hourglass mapping for universal image restoration based on diffusion model
Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, and Wei-Shi Zheng · 2024
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