Using Microposture Features and Optical Flows for Deepfake Detection

Kai Chen, Duohe Ma, Zhenchao Zhang, Zhimin Tang, Liming Wang, Junye Jiang

Abstract: The proliferation of deepfake videos underscores the need to develop reliable detection methods to mitigate their negative consequences. Several deepfake video detection methods achieve satisfactory performance. However, the methods often focus on specific facial features and overlook the noise introduced during feature extraction.