Identification of GAN Generated Images

This is an implementation of the paper Identification of deep network generated images using disparities in color components.

Requirements

• Matlab R2015b+

Usage

Simply call the function gan_img_detection_fea to calculate the features proposed in the paper.

Fea = gan_img_detection_fea(Img)

Note: To train and test on a dataset, please use the code of ensembles (for sample-aware and model-aware detection) / SVM (for model-unaware detection) classifiers.

Citation

If you use our code please cite:

@article{li2020identification,
  title={Identification of Deep Network Generated Images Using Disparities in Color Components},
  author={Li, Haodong and Li, Bin and Tan, Shunquan and Huang, Jiwu},
  journal={Signal Processing},
  volume = {174},
  pages={107616},
  year={2020},
  issn = {0165-1684},
  doi = {https://doi.org/10.1016/j.sigpro.2020.107616},
}