BSRGAN

Practical image super-resolution model trained on diverse degradations.

Open SourceSelf HostedOffline CapableGPU Required (4GB+ VRAM)
0.0 (0)

About

BSRGAN from the Computer Vision Lab at ETH Zurich is a practical image super-resolution model trained with a degradation pipeline that randomly combines blur, noise, JPEG compression, and resizing, so it generalizes to real-world low-quality images better than models trained on simple synthetic downsampling. It includes training and test code and pretrained weights. Released under the Apache 2.0 license.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
Apache-2.0
Minimum VRAM
4 GB
Added
Apr 3, 2026

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