BSRGANx2
BSRGAN: Designing a Practical Degradation Model for Deep Blind Image Super-Resolution .
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 63,8 MB
- Versión
- vVersion 1
- Actualizado
- 18 oct 2026
- Fuente
- Hugging Face
Descripción de la fuente
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}
}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 18 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- 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 .](https://arxiv.org/abs/2103.14006) [BSRGAN-Pip: Packaged version of the BSRGAN repository](https://github.com/kadirnar/bsrgan-pip/) [Paper Repo: Implementation of paper - BSRGAN](https://github.com/cszn/BSRGAN) ### Installation ``` pip install bsrgan ``` ### BSRGAN Usage ```python 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} } ```
Source context: 0 downloads · 2 likes · Repo kadirnar/BSRGANx2
