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