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Found 3 papers, 3 papers with code
Face2Diffusion for Fast and Editable Face Personalization
However, it is still challenging for previous methods to preserve both the identity similarity and editability due to overfitting to training samples.
BlendFace: Re-designing Identity Encoders for Face-Swapping
The great advancements of generative adversarial networks and face recognition models in computer vision have made it possible to swap identities on images from single sources.
Detecting Deepfakes with Self-Blended Images
In this paper, we present novel synthetic training data called self-blended images (SBIs) to detect deepfakes.
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