Daisy-Zhang/Awesome-Deepfakes-Detection resource

Health v2 · maintenance only

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1817 stars · 165 forks observed · 2026-08-28

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

A curated awesome-list of datasets, tools, papers, and code for deepfake detection research. It organizes resources by method categories such as frequency-based, spatiotemporal, robustness, and interpretability.

Use cases

• find datasets for training deepfake detection models
• survey recent papers on face forgery detection
• locate code implementations of deepfake detectors
• compare deepfake detection benchmarks like Celeb-DF and FaceForensics
• research robustness of deepfake detectors to real-world scenarios
• find tools for detecting manipulated face images and videos

When to choose

• starting research on deepfake detection and needing a literature map
• looking for benchmark datasets for face forgery forensics
• tracking recent conference papers on media manipulation detection

When to avoid

• you need a ready-to-run detection model rather than a resource list
• you want deepfake generation resources (see Awesome Deepfakes instead)
• you need production-grade media forensics tooling

Facets

learning-resource · maturity active

computer-vision image-processing video-processing machine-learning deep-learning artificial-intelligence computer-vision deep-learning security awesome-lists cross-platform awesome-list deepfakes deepfake-detection paper-list datasets media-forensics face-forgery

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