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"Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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Deep Constrained Least Squares for Blind Image Super-Resolution

'Deep Constrained Least Squares for Blind Image Super-Resolution', CVPR 2022 | [Paper].

Updates

[2022.04.22] 🎉🎉🎉 Our work BSRT won the 1st place in NTIRE 2022 BurstSR Challenge [Paper][Code].
[2022.03.15] Note!!! We will not maintain this repository after April. All codes and models will move to here.
[2022.03.09] We released the code and provided the pretrained model weights here.
[2022.03.02] Our paper has been accepted by CVPR 2022.

DCLS

Overview

DCLS

Results

Comparison on Isotropic Gaussian kernels (Gaussian8)

ISO kernel

Comparison on Anisotropic Gaussian kernels (DIV2KRK)

ANISO kernel

Citations

If our code helps your research or work, please consider citing our paper. The following is a BibTeX reference.

@inproceedings{luo2022deep,
  title={Deep constrained least squares for blind image super-resolution},
  author={Luo, Ziwei and Huang, Haibin and Yu, Lei and Li, Youwei and Fan, Haoqiang and Liu, Shuaicheng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={17642--17652},
  year={2022}
}

Contact

email: [ziwei.ro@gmail.com]

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"Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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