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--- |
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license: apache-2.0 |
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tags: |
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- Super-Resolution |
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- computer-vision |
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- bsrgan |
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- gan |
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--- |
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### Model Description |
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[BSRGAN: Designing a Practical Degradation Model for Deep Blind Image Super-Resolution .](https://arxiv.org/abs/2103.14006) |
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[BSRGAN-Pip: Packaged version of the BSRGAN repository](https://github.com/kadirnar/bsrgan-pip/) |
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[Paper Repo: Implementation of paper - BSRGAN](https://github.com/cszn/BSRGAN) |
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### Installation |
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``` |
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pip install bsrgan |
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``` |
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### BSRGAN Usage |
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```python |
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from bsrgan import BSRGAN |
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model = BSRGAN(weights='kadirnar/BSRGANx2', device='cuda:0', hf_model=True) |
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model.save = True |
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pred = model.predict(img_path='data/image/test.png') |
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``` |
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### BibTeX Entry and Citation Info |
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``` |
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@inproceedings{zhang2021designing, |
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title={Designing a Practical Degradation Model for Deep Blind Image Super-Resolution}, |
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author={Zhang, Kai and Liang, Jingyun and Van Gool, Luc and Timofte, Radu}, |
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booktitle={IEEE International Conference on Computer Vision}, |
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pages={4791--4800}, |
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year={2021} |
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} |
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``` |
