FD²Foremer: Thinking Face Forgery Detection in Midfrequency Geometry Details

Figure 4

The architecture of the proposed forgery-detection-with-facial-detail transformer, including the cropped face image and their corresponding displacement map as input, convolutional networks as backbone for image feature extraction and 24 transformer blocks for feature learning.