GLFF: Global and Local Feature Fusion for Face Forgery Detection

DF^3 Dataset

Our DF^3 dataset is a large-scale and highly-diverse face forgery dataset by considering 6 state-of-the-art generation models and 5 post-processing operations to approach the real-world applications. Please fill out this form to get the access of our dataset: Form

GLFF Detection Method

Dataset

Prepare your training and evaluation dataset according to this repo and this repo

Training

We provide an example script to train our model by running bash train.sh

Testing

We provide an example script to test our model by running bash test.sh.

Acknowledgments

• This repository borrows partially from CNNDetection, BeyondtheSpectrum, Nodown, FusingGlobalandLocal.

• This work is supported by the US Defense Advanced Research Projects Agency (DARPA) Semantic Forensic (SemaFor) program.

Citation

If you find this useful for your research, please consider citing this bibtex:

@article{ju2023glff, title={Glff: Global and local feature fusion for ai-synthesized image detection}, author={Ju, Yan and Jia, Shan and Cai, Jialing and Guan, Haiying and Lyu, Siwei}, journal={IEEE Transactions on Multimedia}, year={2023}, publisher={IEEE} }