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De-Fake: Detection and Attribution of Fake Images Generated by Text-to-Image ...
The De-Fake dataset is a detection and attribution of fake images generated by text-to-image diffusion models. -
DEFAKE: A Large-Scale Dataset for Real-World Face Forgery Detection
The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion. -
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forge...
The DiffusionFace dataset is a comprehensive dataset for diffusion-based face forgery analysis, covering various forgery categories, including unconditional and text-guided... -
FaceForensics++
Deepfakes have become a critical social problem, and detecting them is of utmost importance. The FaceForensics++ dataset offers fake video datasets. Most of the detection...
