11 datasets found

A compact facial video forgery detection network for detecting manipulated faces in videos.

A novel large-scale dataset for face forgery detection in multi-person scenarios, comprising 10,000 high-quality forgery videos with an average of three human faces in each frame.

The De-Fake dataset is a detection and attribution of fake images generated by text-to-image diffusion models.

The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion.

The DiffusionFace dataset is a comprehensive dataset for diffusion-based face forgery analysis, covering various forgery categories, including unconditional and text-guided...

DeeperForensics-1.0 is a large-scale dataset for real-world face forgery detection, containing 60,000 videos and 17.6 million frames.

The paper proposes a unified face spoofing and forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets,...

The dataset contains real and fake face videos.

The dataset contains real and fake face images generated by diffusion models.

The paper proposes a unified face forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets, including...

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...