GaParmar/clean-fid

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1166 stars · 81 forks observed · 2026-08-28

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

Clean-FID is a PyTorch library for computing the Frechet Inception Distance (FID) with correct image resizing and quantization steps, fixing inconsistencies across common implementations. It also supports KID and CLIP-feature-based FID, and was published at CVPR 2022.

Use cases

• calculate fid score between two image folders
• evaluate gan image generation quality
• compare fid scores across papers reproducibly
• compute kid metric for generated images
• compute fid using clip features
• fix incorrect image resizing in fid calculation

When to choose

• you need reproducible, comparable FID scores for generative model evaluation
• you want correct anti-aliased resizing and quantization in the metric pipeline
• you need FID, KID, or CLIP-FID in a PyTorch workflow

When to avoid

• you need metrics other than FID/KID/CLIP-FID, such as Inception Score or precision-recall
• you are not working with image generation evaluation
• you need a framework-agnostic solution outside PyTorch

Facets

library · maturity stable

image-processing machine-learning benchmarking computer-vision deep-learning machine-learning image-processing python cross-platform fid-score gan-evaluation pytorch frechet-inception-distance kid clip-features generative-models cvpr-2022 gpu

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