Over the past years, image generation and manipulation have achieved remarkable progress due to the rapid development of generative AI based on deep learning. Recent studies have devoted significant efforts to address the problem of face image manipulation caused by deepfake techniques. However, the problem of detecting purely synthesized face images has been explored to a lesser extent. In particular, the recent popular Diffusion Models (DMs) have shown remarkable success in image synthesis. Existing detectors struggle to generalize between synthesized images created by different generative models. For this reason, a new dataset was created to benchmark detectors’ performance on entirely AI-synthesized human face images.
More detailed information on the dataset can be found in [1].
Contact: Yuhang Lu ([email protected]).
Download
The dataset can be downloaded through FTP by using dedicated FTP clients, such as FileZilla or FireFTP (we recommend to use FileZilla):
Protocol: FTP
FTP address: tremplin.epfl.ch
Username: [email protected]
Password: ohsh9jah4T
FTP port: 21
After you connect, choose the AI_Synthesized_Faces folder from the remote site, and download the relevant material.
Conditions of use
In no event shall the Ecole Polytechnique Fédérale de Lausanne (EPFL) be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of the data and its documentation. The Ecole Polytechnique Fédérale de Lausanne (EPFL) specifically disclaims any warranties. The data provided hereunder is on an “as is” basis and the Ecole Polytechnique Fédérale de Lausanne (EPFL) has no obligation to provide maintenance, support, updates, enhancements, or modifications.
If you wish to use any of the provided material in your research, we kindly ask you to cite [1].
Reference
[1] Yuhang Lu, and Touradj Ebrahimi. “Towards the Detection of AI-Synthesized Human Face Images.” arXiv preprint arXiv:2402.08750 (2024).