iFakeFaceDB is a face image dataset for the study of synthetic face manipulation detection, comprising about 87,000 synthetic face images generated by the Style-GAN model and transformed with the GANprintR approach. All images were aligned and resized to the size of 224 x 224.
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We created a new dataset, named DFDM, with 6,450 Deepfake videos generated by different Autoencoder models. Specifically, five Autoencoder models with variations in encoder, decoder, intermediate layer, and input resolution, respectively, have been selected to generate Deepfakes based on the same input. We have observed the visible but subtle visual differences among different Deepfakes, demonstrating the evidence of model attribution artifacts.
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A high-resolution version of VGGFace2 for academic face editing purposes. This project uses GFPGAN for image restoration and insightface for data preprocessing (crop and align).
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The free Face dataset made for students and teachers. It contains 10,000 photos with equal distribution of race and gender parameters, along with metadata and facial landmarks. Free to use for research with citation Photos by Generated.Photos.
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