Face Forensics¶
Detection of facial image manipulation and synthesis. Methods exploit properties of human faces including 3D structure, appearance consistency, dynamics, and behavioral cues that are difficult for generative models to capture perfectly.
Key papers¶
- FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals — Detection using biological signals (photoplethysmography); analyzes spatial coherence and temporal consistency of blood flow patterns.
- Exposing Deep Fakes Using Inconsistent Head Poses — 3D head pose inconsistency reveals facial landmark misalignment in deepfakes.
- FaceForensics++: Learning to Detect Manipulated Facial Images — benchmark dataset and evaluation of face manipulation detection methods.