| Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising K Zhang, W Zuo, Y Chen, D Meng, L Zhang IEEE TIP 2017 (🏆2026 ICBS Frontiers of Science Award), code: https://github …, 2017 | 12131 | 2017 |
| SwinIR: Image Restoration using Swin Transformer J Liang, J Cao, G Sun, K Zhang*(Corresponding author), L Van Gool, ... ICCVW 2021 (🏆2021 AIM Workshop Best Paper Award); code: https://github.com …, 2021 | 7699 | 2021 |
| FFDNet: Toward a fast and flexible solution for CNN based image denoising K Zhang, W Zuo, L Zhang IEEE TIP 2018 (🏆2024 IEEE SPS Best Paper Award), code: https://github.com …, 2018 | 3715 | 2018 |
| Learning Deep CNN Denoiser Prior for Image Restoration K Zhang, W Zuo, S Gu, L Zhang CVPR 2017, code: https://github.com/cszn/DPIR, 2017 | 2872 | 2017 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... CVPRW 2017, 2017 | 2640 | 2017 |
| Plug-and-Play Image Restoration with Deep Denoiser Prior K Zhang, Y Li, W Zuo, L Zhang, L Van Gool, R Timofte IEEE TPAMI, code: https://github.com/cszn/DPIR, 2021 | 1725 | 2021 |
| Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang CVPR 2019, 2019 | 1596 | 2019 |
| Learning a single convolutional super-resolution network for multiple degradations K Zhang, W Zuo, L Zhang CVPR 2018, code: https://github.com/cszn/KAIR, 2018 | 1457 | 2018 |
| Designing a Practical Degradation Model for Deep Blind Image Super-Resolution K Zhang, J Liang, L Van Gool, R Timofte ICCV 2021; https://github.com/cszn/BSRGAN, 2021 | 1422 | 2021 |
| Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo CVPRW 2018, 2018 | 1326 | 2018 |
| Deep Unfolding Network for Image Super-Resolution K Zhang, L Van Gool, R Timofte CVPR 2020, code: https://github.com/cszn/USRNet, 2020 | 958 | 2020 |
| End-to-End Blind Image Quality Assessment Using Deep Neural Networks K Ma, W Liu, K Zhang, Z Duanmu, Z Wang, W Zuo IEEE TIP 2018, 2018 | 738 | 2018 |
| LocalViT: Bringing Locality to Vision Transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021 | 737 | 2021 |
| DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Z Zhao, H Bai, Y Zhu, J Zhang, S Xu, Y Zhang, K Zhang, D Meng, ... ICCV 2023, 2023 | 709 | 2023 |
| VRT: A Video Restoration Transformer J Liang, J Cao, Y Fan, K Zhang*, R Ranjan, Y Li, R Timofte, L Van Gool IEEE TIP, 2024 | 639 | 2024 |
| Denoising Diffusion Models for Plug-and-Play Image Restoration Y Zhu, K Zhang*, J Liang, J Cao, B Wen, R Timofte, L Van Gool CVPRW, 2023, code: https://github.com/yuanzhi-zhu/DiffPIR, 2023 | 615 | 2023 |
| Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels K Zhang, W Zuo, L Zhang CVPR 2019, code: https://github.com/cszn/DPSR, 2019 | 557 | 2019 |
| Equivariant Multi-Modality Image Fusion Z Zhao, H Bai, J Zhang, Y Zhang, K Zhang, S Xu, D Chen, R Timofte, ... CVPR, 2024 | 474 | 2024 |
| Neural Blind Deconvolution Using Deep Priors D Ren, K Zhang, Q Wang, Q Hu, W Zuo CVPR 2020, code: https://github.com/csdwren/SelfDeblur, 2020 | 461 | 2020 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool CVPRW 2018, 2018 | 456 | 2018 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
