Name: | Andreas Rössler |
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Position: | Ph.D Candidate |
E-Mail: | andreas.roessler@tum.de |
Phone: | +49-89-289-19595 |
Room No: | 02.13.035 |
FaceForensics++: Learning to Detect Manipulated Facial Images |
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Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner |
ICCV 2019 |
In this paper, we examine the realism of state-of-the-art facial image manipulation methods, and how difficult it is to detect them - either automatically or by humans. In particular, we create a datasets that is focused on DeepFakes, Face2Face, FaceSwap, and Neural Textures as prominent representatives for facial manipulations. |
[video][code][bibtex][project page] |
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection |
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Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva |
arXiv 2018 |
ForensicTransfer tackles two challenges in multimedia forensics. First, we devise a learning-based forensic detector which adapts well to new domains, i.e., novel manipulation methods. Second we handle scenarios where only a handful of fake examples are available during training. |
[bibtex][project page] |
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces |
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Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner |
arXiv 2018 |
In this paper, we introduce FaceForensics, a large scale video dataset consisting of 1004 videos with more than 500000 frames, altered with Face2Face, that can be used for forgery detection and to train generative refinement methods. |
[video][bibtex][project page] |