Tweeted By @hardmaru
FaceForensics++: Learning to Detect Manipulated Facial Images
— hardmaru 😷 (@hardmaru) October 7, 2019
They propose benchmark for DeepFake detection is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as representative methods for face manipulation and release a large labeled dataset.https://t.co/L8rSBnBNx9 https://t.co/0mw5CEIIqY pic.twitter.com/M7y8LB8JTU