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BSRGANx2

BSRGAN: Designing a Practical Degradation Model for Deep Blind Image Super-Resolution .

TypeOtherVersionVersion 1CClasse

Source du modèle

Type
Other
Taille du fichier
63,8 MB
Version
vVersion 1
Mis à jour
18 oct. 2026
Source
Hugging Face

Description de la source

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}
}

Sources

1 source
Hugging FacePrincipalVersion 82e39e6b3808f2b3f74dfba62ffd8f46611a3b2f
huggingface.co/kadirnar/BSRGANx2/tree/82e39e6b3808f2b3f74dfba62ffd8f46611a3b2f

Vérifié 18 oct.

Artefacts du modèle

1 artefact

BSRGANx2.pth

pth · 63,8 MB · SHA-256 614f68bcafcf…c736 · Hugging Face

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Extraits de sources

2 extraits

--- 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