DFDM (Deepfake videos generated from different models)
Introduced by Jia et al. in Model Attribution of Face-swap Deepfake Videos
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.
Papers
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