@article{zhang2023practical,
title={Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis},
author={Zhang, Kai and Li, Yawei and Liang, Jingyun and Cao, Jiezhang and Zhang, Yulun and Tang, Hao and Fan, Deng-Ping and Timofte, Radu and Van Gool, Luc},
journal={Machine Intelligence Research},
volume={20},
number={6},
pages={822--836},
year={2023}
}
@inproceedings{liang2022recurrent,
title={Recurrent Video Restoration Transformer with Guided Deformable Attention},
author={Liang, Jingyun and Fan, Yuchen and Xiang, Xiaoyu and Ranjan, Rakesh and Ilg, Eddy and Green, Simon and Cao, Jiezhang and Zhang, Kai and Timofte, Radu and Van Gool, Luc},
journal={NeurIPS},
year={2022}
}
@inproceedings{cao2022towards,
title={Towards Interpretable Video Super-Resolution via Alternating Optimization},
author={Cao, Jiezhang and Liang, Jingyun and Zhang, Kai and Wang, Wenguan and Wang, Qin and Zhang, Yulun and Tang, Hao and Van Gool, Luc},
booktitle={European conference on computer vision},
year={2022}
}
@incollection{zhang2022deep,
title = {Deep plug-and-play and deep unfolding methods for image restoration},
editor = {E.R. Davies and Matthew A. Turk},
author = {Kai Zhang and Radu Timofte},
booktitle = {Advanced Methods and Deep Learning in Computer Vision},
publisher = {Academic Press},
pages = {481-509},
year = {2022}
}
@inproceedings{liang2021swinir,
title={SwinIR: Image Restoration Using Swin Transformer},
author={Liang, Jingyun and Cao, Jiezhang and Sun, Guolei and Zhang, Kai and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE International Conference on Computer Vision Workshops},
pages={1833--1844},
year={2021}
}
@inproceedings{zhang2021designing,
title={Designing a Practical Degradation Model for Deep Blind Image Super-Resolution},
author={Zhang, Kai and Liang, Jingyun and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE International Conference on Computer Vision},
pages={4791--4800},
year={2021}
}
@inproceedings{liang2021mutual,
title={Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution},
author={Liang, Jingyun and Sun, Guolei and Zhang, Kai and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE International Conference on Computer Vision},
pages={4096--4105},
year={2021}
}
@inproceedings{jiang2021towards,
title={Towards Flexible Blind {JPEG} Artifacts Removal},
author={Jiang, Jiaxi and Zhang, Kai and Timofte, Radu},
booktitle={IEEE International Conference on Computer Vision},
pages={4997--5006},
year={2021}
}
@inproceedings{liang2021hierarchical,
title={Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling},
author={Liang, Jingyun and Lugmayr, Andreas and Zhang, Kai and Danelljan, Martin and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE International Conference on Computer Vision},
pages={4076--4085},
year={2021}
}
@inproceedings{liang2021flow,
title={Flow-based Kernel Prior with Application to Blind Super-Resolution},
author={Liang, Jingyun and Zhang, Kai and Gu, Shuhang and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={10601--10610},
year={2021}
}
@article{zhang2020plug,
title={Plug-and-Play Image Restoration with Deep Denoiser Prior},
author={Zhang, Kai and Li, Yawei and Zuo, Wangmeng and Zhang, Lei and Van Gool, Luc and Timofte, Radu},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={44},
number={10},
pages={6360-6376},
year={2022}
}
@inproceedings{zhang2020aim,
title={AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results},
author={Kai Zhang and Martin Danelljan and Yawei Li and Radu Timofte and others},
booktitle={European Conference on Computer Vision Workshops},
year={2020}
}
@inproceedings{zhang2020deep, % USRNet
title={Deep unfolding network for image super-resolution},
author={Zhang, Kai and Van Gool, Luc and Timofte, Radu},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={3217--3226},
year={2020}
}
@inproceedings{ren2019neural,
title={Neural blind deconvolution using deep priors},
author={Ren, Dongwei and Zhang, Kai and Wang, Qilong and Hu, Qinghua and Zuo, Wangmeng},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={3341--3350},
year={2020}
}
@inproceedings{zhang2020ntire,
title={NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results},
author={Kai Zhang and Shuhang Gu and Radu Timofte and others},
booktitle={IEEE International Conference on Computer Vision and Pattern Recognition Workshops},
year={2020}
}
@inproceedings{zhang2019aim, % AIM 2019
title={AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results},
author={Kai Zhang and Shuhang Gu and Radu Timofte and others},
booktitle={IEEE International Conference on Computer Vision Workshops},
year={2019}
}
@inproceedings{zhang2019deep, % DPSR
title={Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels},
author={Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={1671--1681},
year={2019}
}
@inproceedings{zhang2018learning, % SRMD
title={Learning a single convolutional super-resolution network for multiple degradations},
author={Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={3262--3271},
year={2018}
}
@inproceedings{zhang2017learning, % IRCNN
title={Learning deep CNN denoiser prior for image restoration},
author={Zhang, Kai and Zuo, Wangmeng and Gu, Shuhang and Zhang, Lei},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={3929--3938},
year={2017}
}
@article{zhang2018ffdnet, % FFDNet, FDnCNN
title={{FFDNet}: Toward a fast and flexible solution for {CNN}-based image denoising},
author={Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
journal={IEEE Transactions on Image Processing},
volume={27},
number={9},
pages={4608--4622},
year={2018}
}
@article{zhang2017beyond, %DnCNN
title={Beyond a {Gaussian} denoiser: Residual learning of deep {CNN} for image denoising},
author={Zhang, Kai and Zuo, Wangmeng and Chen, Yunjin and Meng, Deyu and Zhang, Lei},
journal={IEEE Transactions on Image Processing},
year={2017},
volume={26},
number={7},
pages={3142-3155},
}
@article{ma2017end,
title={End-to-end blind image quality assessment using deep neural networks},
author={Ma, Kede and Liu, Wentao and Zhang, Kai and Duanmu, Zhengfang and Wang, Zhou and Zuo, Wangmeng},
journal={IEEE Transactions on Image Processing},
volume={27},
number={3},
pages={1202--1213},
year={2017}
}
@inproceedings{guo2019toward,
title={Toward convolutional blind denoising of real photographs},
author={Guo, Shi and Yan, Zifei and Zhang, Kai and Zuo, Wangmeng and Zhang, Lei},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
pages={1712--1722},
year={2019}
}
@Inbook{zuo2018convolutional,
author={Zuo, Wangmeng and Zhang, Kai and Zhang, Lei},
editor={Bertalm{\'i}o, Marcelo},
title={Convolutional Neural Networks for Image Denoising and Restoration},
bookTitle={Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends},
year={2018},
publisher={Springer International Publishing},
address={Cham},
pages={93--123},
isbn={978-3-319-96029-6},
doi={10.1007/978-3-319-96029-6_4},
url={https://doi.org/10.1007/978-3-319-96029-6_4}
}
@article{zhang2015joint,
title={Joint learning of multiple regressors for single image super-resolution},
author={Zhang, Kai and Wang, Baoquan and Zuo, Wangmeng and Zhang, Hongzhi and Zhang, Lei},
journal={IEEE Signal processing letters},
volume={23},
number={1},
pages={102--106},
year={2015}
}
@inproceedings{zhang2015revisiting,
title={Revisiting single image super-resolution under internet environment: blur kernels and reconstruction algorithms},
author={Zhang, Kai and Zhou, Xiaoyu and Zhang, Hongzhi and Zuo, Wangmeng},
booktitle={Pacific Rim Conference on Multimedia},
pages={677--687},
year={2015}
}