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Kai Zhang
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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, code: https://github.com/cszn/KAIR, 2017
84152017
SwinIR: Image Restoration using Swin Transformer
J Liang, J Cao, G Sun, K Zhang*(Corresponding author), L Van Gool, ...
ICCVW 2021; code: https://github.com/JingyunLiang/SwinIR, 2021
29222021
FFDNet: Toward a fast and flexible solution for CNN based image denoising
K Zhang, W Zuo, L Zhang
IEEE TIP 2018, code: https://github.com/cszn/KAIR, 2018
25012018
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
22492017
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
20652017
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
11762018
Toward convolutional blind denoising of real photographs
S Guo, Z Yan, K Zhang, W Zuo, L Zhang
CVPR 2019, 2019
11312019
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
CVPRW 2018, 2018
8372018
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
8072021
Deep Unfolding Network for Image Super-Resolution
K Zhang, L Van Gool, R Timofte
CVPR 2020, code: https://github.com/cszn/USRNet, 2020
6582020
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
5702021
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
5552018
LocalViT: Bringing Locality to Vision Transformers
Y Li, K Zhang, J Cao, R Timofte, L Van Gool
arXiv preprint arXiv:2104.05707, 2021
5162021
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
4342019
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
3142020
Outlier-robust extreme learning machine for regression problems
K Zhang, M Luo
Neurocomputing 151, 1519-1527, 2015
2332015
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
2312024
Extreme learning machine and adaptive sparse representation for image classification
J Cao, K Zhang, M Luo, C Yin, X Lai
Neural networks 81, 91-102, 2016
2292016
Video Super-Resolution Transformer
J Cao, Y Li, K Zhang, L Van Gool
arXiv preprint arXiv:2106.06847, 2021
1952021
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
K Zhang*, Y Li, J Liang, J Cao, Y Zhang, H Tang, D Fan, R Timofte, ...
Machine Intelligence Research (2023), https://github.com/cszn/SCUNet; https …, 2023
152*2023
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