Fetching the paper…
Reading the bibliography…
With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful.
Bayesian-based iterative method of image restoration
William Hadley Richardson · 1972
Earlier work this paper cites.
Image restoration by the method of convex projections: Part 2-applications and numerical results
MI Sezan and Henry Stark · 1982
Earlier work this paper cites.
Digital image restoration
Mark R Banham and Aggelos K Katsaggelos · 1997
Earlier work this paper cites.
Image restoration in astronomy: a Bayesian perspective
Rafael Molina, Jorge Núñez, Francisco J Cortijo, and Javier Mateos · 2001
Earlier work this paper cites.
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
Earlier work this paper cites.
High-quality motion deblurring from a single image
Qi Shan, Jiaya Jia, and Aseem Agarwala · 2008
Earlier work this paper cites.
Deblurring text images via l0-regularized intensity and gradient prior
Jinshan Pan, Zhe Hu, Zhixun Su, and Ming-Hsuan Yang · 2014
Earlier work this paper cites.
Compression artifacts reduction by a deep convolutional network
Chao Dong, Yubin Deng, Chen Change Loy, and Xiaoou Tang · 2015
Earlier work this paper cites.
U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Non-local image dehazing
Dana Berman, Tali Treibitz, and Shai Avidan · 2016
Earlier work this paper cites.
Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
Earlier work this paper cites.
Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
Earlier work this paper cites.
Rain streak removal using layer priors
Yu Li, Robby T Tan, Xiaojie Guo, Jiangbo Lu, and Michael S Brown · 2016
Earlier work this paper cites.
Single image dehazing via multi-scale convolutional neural networks
Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang · 2016
Earlier work this paper cites.
Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
Earlier work this paper cites.
Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
Earlier work this paper cites.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Deep joint rain detection and removal from a single image
Wenhan Yang, Robby T Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 2017
Earlier work this paper cites.
Single image dehazing via conditional generative adversarial network
Runde Li, Jinshan Pan, Zechao Li, and Jinhui Tang · 2018
Earlier work this paper cites.
Recovering realistic texture in image super-resolution by deep spatial feature transform
Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2018
Earlier work this paper cites.
Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 2018
Earlier work this paper cites.
FFDNet: Toward a fast and flexible solution for cnn-based image denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
Earlier work this paper cites.
A general decoupled learning framework for parameterized image operators
Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, and Baoquan Chen · 2019
Earlier work this paper cites.
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.
Heavy rain image restoration: Integrating physics model and conditional adversarial learning
Ruoteng Li, Loong-Fah Cheong, and Robby T Tan · 2019
Cited alongside, same era.
Enhanced pix2pix dehazing network
Yanyun Qu, Yizi Chen, Jingying Huang, and Yuan Xie · 2019
Cited alongside, same era.
Progressive image deraining networks: A better and simpler baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng · 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
Cited alongside, same era.
Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
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
Later among the works it cites.
Spsd: Semantics and deep reinforcement learning based motion planning for supermarket robot
Jialun Cai, Weibo Huang, Yingxuan You, Zhan Chen, Bin Ren, and Hong Liu · 2023
Later among the works it cites.
Implicit diffusion models for continuous super-resolution
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, and Baochang Zhang · 2023
Later among the works it cites.
Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
Later among the works it cites.
Autodir: Automatic all-in-one image restoration with latent diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, and Jinwei Gu · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
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.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Quantization guided JPEG artifact correction
Max Ehrlich, Larry Davis, Ser-Nam Lim, and Abhinav Shrivastava · 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.
Grouped temporal enhancement module for human action recognition
Hong Liu, Bin Ren, Mengyuan Liu, and Runwei Ding · 2020
Cited alongside, same era.
Later among the works it cites.
Efficient frequency domain-based transformers for high-quality image deblurring
Lingshun Kong, Jiangxin Dong, Jianjun Ge, Mingqiang Li, and Jinshan Pan · 2023
Later among the works it cites.
Spatio-temporal graph diffusion for text-driven human motion generation
Chang Liu, Mengyi Zhao, Bin Ren, Mengyuan Liu, Nicu Sebe, et al · 2023
Later among the works it cites.
Image restoration with mean-reverting stochastic differential equations
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
Later among the works it cites.
ResShift: Efficient diffusion model for image super-resolution by residual shifting
Zongsheng Yue, Jianyi Wang, and Chen Change Loy · 2023
Later among the works it cites.
Ingredient-oriented multi-degradation learning for image restoration
Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, and Feng Zhao · 2023
Later among the works it cites.
Adair: Adaptive all-in-one image restoration via frequency mining and modulation
Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, and Fahad Shahbaz Khan · 2024
Closest in time.
Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality
Tri Dao and Albert Gu · 2024
Closest in time.
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
Closest in time.
Mambair: A simple baseline for image restoration with state-space model
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, and Shu-Tao Xia · 2024
Closest in time.
Controlling vision-language models for universal image restoration
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2024
Closest in time.
Promptir: Prompting for all-in-one image restoration
Vaishnav Potlapalli, Syed Waqas Zamir, Salman H Khan, and Fahad Shahbaz Khan · 2024
Closest in time.
The ninth ntire 2024 efficient super-resolution challenge report
Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, et al · 2024
Closest in time.
Harmony in diversity: Improving all-in-one image restoration via multi-task collaboration
Gang Wu, Junjun Jiang, Kui Jiang, and Xianming Liu · 2024
Closest in time.
Inceptionnext: When inception meets convnext
Weihao Yu, Pan Zhou, Shuicheng Yan, and Xinchao Wang · 2024
Closest in time.
Denoising diffusion probabilistic models for action-conditioned 3d motion generation
Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, and Nicu Sebe · 2024
Closest in time.
Vision mamba: Efficient visual representation learning with bidirectional state space model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang · 2024
Closest in time.
Uniprocessor: a text-induced unified low-level image processor
Huiyu Duan, Xiongkuo Min, Sijing Wu, Wei Shen, and Guangtao Zhai · 2025
Closest in time.