AI Research
Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection
A hybrid detection approach leveraging physiological rhythms and lip-motion cues to combat modern deepfake generation.
Talking-face (TF) deepfakes are detected unevenly by rPPG-based methods across generators. We study two lightweight visual-only cues, rPPG-derived waveforms extracted by RhythmFormer and lip-region discrete cosine transform (DCT) coefficients, on the seven TF methods of Celeb-DF+...
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ArXiv CS.CV
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ArXiv CS.CV
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This research advances deepfake detection by combining physiological signals with lip-motion analysis to bypass generator-specific weaknesses. By fusing rPPG waveforms and DCT coefficients, the method creates a robust, lightweight defense against increasingly sophisticated synthetic media.
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