DFREC: DeepFake Identity Recovery Based on Identity-Aware Masked Autoencoder

Summary

The authors introduce DFREC, a scheme that recovers both the source and target faces from a deepfake image to support identity tracing in forensic investigations. It uses an Identity Segmentation Module, a Source Identity Reconstruction Module and a Target Identity Reconstruction Module, the last of which relies on a Masked Autoencoder. Evaluated on FaceForensics++, CelebaMegaFS, FFHQ-E4S and Celeb-DFv2, DFREC outperforms state-of-the-art deepfake recovery algorithms and is described as the only scheme that recovers both pristine faces with high fidelity.

Topics

• Deepfakes and impersonation

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