( Image credit: FaceForensics++ )
In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.
SOTA for DeepFake Detection on FaceForensics
This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.
In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.