Analysis of Lighting and Shape Features in Deepfake Identification
AI-Driven Innovation and Smart Systems: 46AI 2025
This study investigates interpretable photometric and geometric features for deepfake detection under realistic conditions. The dedicated DeepFake RealWorld (DFRW) dataset, comprising 46 371 clips generated by diffusion, reenactment, and face-swap models, was used to evaluate lighting and shape consistency. Key descriptors, including light direction mismatch…