@inproceedings{huang2025reverse, title={Reverse Convolution and Its Applications to Image Restoration}, author={Huang, Xuhong and Liu, Shiqi and Zhang, Kai and Tai, Ying and Yang, Jian and Zeng, Hui and Zhang, Lei}, journal={IEEE International Conference on Computer Vision}, year={2025} } @inproceedings{liang2024movideo, title={MoVideo: Motion-Aware Video Generation with Diffusion Models}, author={Liang, Jingyun and Fan, Yuchen and Zhang, Kai and Timofte, Radu and Van Gool, Luc and Ranjan, Rakesh}, journal={ECCV}, year={2024} } @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={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} }