Face Manipulation Detection

Face manipulation detection research aims to identify digitally altered facial images, a crucial task given the proliferation of realistic deepfakes. Current efforts focus on developing sophisticated algorithms, including those leveraging multi-spectral analysis, depth information, and even fusing human expert judgments, to improve both the accuracy and explainability of detection and localization of manipulated regions. This field is vital for safeguarding security applications reliant on facial recognition and for advancing our understanding of human perception of manipulated images.