Awesome

FFD Source Code

Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

The proposed network framework with attention mechanism

Project Webpage

See the MSU CVLab website for project details and access to the DFFD dataset.

http://cvlab.cse.msu.edu/project-ffd.html

Notes

This code is provided as example code, and may not reflect a specific combination of hyper-parameters presented in the paper.

Description of contents

xception.py: Defines the Xception network with the attention mechanism
train*.py: Train the model on the train data
test*.py: Evaluate the model on the test data

Acknowledgements

If you use or refer to this source code, please cite the following paper:

@inproceedings{cvpr2020-dang,
  title={On the Detection of Digital Face Manipulation},
  author={Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil Jain},
  booktitle={In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020)},
  address={Seattle, WA},
  year={2020}
}