Fetching the paper…
Reading the bibliography…
Recent image restoration methods have produced significant advancements using deep learning.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Is image super-resolution helpful for other vision tasks?
Dengxin Dai, Yujian Wang, Yuhua Chen, and Luc Van Gool · 2016
Earlier work this paper cites.
Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
Earlier work this paper cites.
Super-resolution microscopy with dna-paint
Joerg Schnitzbauer, Maximilian T Strauss, Thomas Schlichthaerle, Florian Schueder, and Ralf Jungmann · 2017
Earlier work this paper cites.
Ntire 2017 challenge on single image super-resolution: Methods and results
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, and Lei Zhang · 2017
Earlier work this paper cites.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Earlier work this paper cites.
Deblurgan: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiří Matas · 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.
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.
Learning a single convolutional super-resolution network for multiple degradations
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
Earlier work this paper cites.
Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
Earlier work this paper cites.
Jpeg artifacts reduction via deep convolutional sparse coding
Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, and John Paisley · 2019
Earlier work this paper cites.
Toward convolutional blind denoising of real photographs
Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2019
Earlier work this paper cites.
Edge-enhanced gan for remote sensing image superresolution
Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu, and Junjun Jiang · 2019
Earlier work this paper cites.
Effects of image degradation and degradation removal to cnn-based image classification
Yanting Pei, Yaping Huang, Qi Zou, Xingyuan Zhang, and Song Wang · 2019
Earlier work this paper cites.
Cfsnet: Toward a controllable feature space for image restoration
Wei Wang, Ruiming Guo, Yapeng Tian, and Wenming Yang · 2019
Earlier work this paper cites.
Unsupervised lesion detection via image restoration with a normative prior
Xiaoran Chen, Suhang You, Kerem Can Tezcan, and Ender Konukoglu · 2020
Earlier work this paper cites.
Remote sensing image super-resolution using novel dense-sampling networks
Xiaoyu Dong, Xu Sun, Xiuping Jia, Zhihong Xi, Lianru Gao, and Bing Zhang · 2020
Earlier work this paper cites.
Quantization guided jpeg artifact correction
Max Ehrlich, Ser-Nam Lim, Larry Davis, and Abhinav Shrivastava · 2020
Cited alongside, same era.
Interactive multi-dimension modulation with dynamic controllable residual learning for image restoration
Jingwen He, Chao Dong, and Yu Qiao · 2020
Cited alongside, same era.
Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
Cited alongside, same era.
Neural blind deconvolution using deep priors
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, and Wangmeng Zuo · 2020
Cited alongside, same era.
Towards privacy-preserving ego-motion estimation using an extremely low-resolution camera
Armon Shariati, Christian Holz, and Sudipta Sinha · 2020
Cited alongside, same era.
Dual super-resolution learning for semantic segmentation
Li Wang, Dong Li, Yousong Zhu, Lu Tian, and Yi Shan · 2020
Towards real-world blind face restoration with generative facial prior
Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan · 2021
Later among the works it cites.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
Later among the works it cites.
Plug-and-play image restoration with deep denoiser prior
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, and Radu Timofte · 2021
Later among the works it cites.
Designing a practical degradation model for deep blind image super-resolution
Kai Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte · 2021
Later among the works it cites.
Simple baselines for image restoration
Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, and Jian Sun · 2022
Later among the works it cites.
Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deep degradation prior for low-quality image classification
Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, and Zhiwei Xiong · 2020
Cited alongside, same era.
Deblurring by realistic blurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Bjorn Stenger, Wei Liu, and Hongdong Li · 2020
Cited alongside, same era.
Toward interactive modulation for photo-realistic image restoration
Haoming Cai, Jingwen He, Yu Qiao, and Chao Dong · 2021
Cited alongside, same era.
Progressive semantic-aware style transformation for blind face restoration
Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, and Kwan-Yee K Wong · 2021
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, Jakob Uszkoreit, and Neil Houlsby · 2021
Cited alongside, same era.
Task-driven super resolution: Object detection in low-resolution images
Muhammad Haris, Greg Shakhnarovich, and Norimichi Ukita · 2021
Cited alongside, same era.
Later among the works it cites.
Motion-from-blur: 3d shape and motion estimation of motion-blurred objects in videos
Denys Rozumnyi, Martin R Oswald, Vittorio Ferrari, and Marc Pollefeys · 2022
Later among the works it cites.
Rethinking image restoration for object detection
Shangquan Sun, Wenqi Ren, Tao Wang, and Xiaochun Cao · 2022
Later among the works it cites.
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.
Yangming Cheng, Liulei Li, Yuanyou Xu, Xiaodi Li, Zongxin Yang, Wenguan Wang, and Yi Yang · 2023
Closest in time.
Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
Closest in time.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Closest in time.
Segment anything in medical images
Jun Ma and Bo Wang · 2023
Closest in time.
Drag your gan: Interactive point-based manipulation on the generative image manifold
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt · 2023
Closest in time.
Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising
Zichun Wang, Ying Fu, Ji Liu, and Yulun Zhang · 2023
Closest in time.
Edit everything: A text-guided generative system for images editing
Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, and Xiaodong Lin · 2023
Closest in time.
Inpaint anything: Segment anything meets image inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, and Zhibo Chen · 2023
Closest in time.