swz30/MPRNet

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1393 stars · 207 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MPRNet is a PyTorch implementation of a multi-stage progressive image restoration network published at CVPR 2021. It provides pretrained models and training code for state-of-the-art image deblurring, deraining, and denoising.

Use cases

• deblur blurry photos with a deep learning model
• remove rain streaks from images
• denoise noisy photographs
• train an image restoration network in PyTorch
• reproduce CVPR 2021 image restoration results
• restore degraded images with a pretrained model

When to choose

• you need strong deblurring, deraining, or denoising with pretrained weights
• you want a research baseline for low-level vision restoration
• you work in PyTorch and want a multi-stage restoration architecture

When to avoid

• you need a production image-processing pipeline rather than research code
• you need general image enhancement beyond deblurring/deraining/denoising
• you require a permissive license - the license is non-standard

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning machine-learning python cross-platform image-restoration image-deblurring image-denoising image-deraining pytorch cvpr-2021 low-level-vision research-code gpu linux

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markdown · JSON · MCP: product_card(name="swz30/MPRNet")