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}
}