https://github.com/cszn/dpsr
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
https://github.com/cszn/dpsr
blurry-images plug-and-play pytorch-implmention srresnet super-resolution
Last synced: about 2 months ago
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Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
- Host: GitHub
- URL: https://github.com/cszn/dpsr
- Owner: cszn
- Created: 2019-02-26T09:31:03.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-03T08:40:00.000Z (over 4 years ago)
- Last Synced: 2025-03-28T11:11:15.427Z (about 2 months ago)
- Topics: blurry-images, plug-and-play, pytorch-implmention, srresnet, super-resolution
- Language: Python
- Homepage: https://cszn.github.io/
- Size: 68.2 MB
- Stars: 841
- Watchers: 27
- Forks: 211
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
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README
# DPSR
# Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019)
- Related work: [DPIR](https://github.com/cszn/DPIR)
# Training and testing codes for the super-resolver prior ([PyTorch](https://github.com/cszn/KAIR))
- [main_train_dpsr.py](https://github.com/cszn/KAIR/blob/master/main_train_dpsr.py)- [main_test_dpsr.py](https://github.com/cszn/KAIR/blob/master/main_test_dpsr.py)
***
The left is the blurry LR image. The right is the super-resolved image by DPSRGAN with scale factor 4.
Run [demo_test_dpsr.py](demo_test_dpsr.py) to produce the following results.
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***
Super-resolved images of LR image [chip.png](testsets/real_imgs/LR/chip.png) by DPSR with scale factors 2, 3 and 4.
Run [demo_test_dpsr_real.py](demo_test_dpsr_real.py) to produce the following results.
LR
x2
x3
x4
# Requirements and Dependencies
- Spyder (Python 3.6)
- PyTorch 0.4.1
- Windows 10# Citation
```BibTex
@inproceedings{zhang2019deep,
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}
}
```