VITA-Group/DeblurGANv2

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1192 stars · 289 forks observed · 2026-08-28

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

Official PyTorch implementation of DeblurGAN-v2, an ICCV 2019 relativistic conditional GAN for single-image motion deblurring with a Feature Pyramid Network generator and swappable backbones. It achieves fast, high-quality deblurring and generalizes to broader image restoration tasks.

Use cases

• remove motion blur from photos
• deblur images with a GAN in pytorch
• real-time video deblurring with lightweight backbones
• restore blurry noisy images
• benchmark image deblurring models on GoPro dataset

When to choose

• you need state-of-the-art or fast motion deblurring in PyTorch
• you want a research baseline for image restoration
• you need flexible speed/quality tradeoffs via backbone choice

When to avoid

• you need a production-supported product with active development
• you need non-PyTorch or non-GPU environments
• you need general photo editing beyond blur removal

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision image-processing deep-learning artificial-intelligence python gan deblurring image-restoration pytorch iccv-2019 research-code motion-deblur linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="VITA-Group/DeblurGANv2")