Detecting GAN-Generated Faces: A Robust Forest-Based Approach Outperforming CNN Models

The proposed ForensicsForest Family, including ForensicsForest, Hybrid ForensicsForest, and Divide-and-Conquer ForensicsForest, is a simple yet effective forest-based method that can effectively detect GAN-generated faces, outperforming various CNN-based detection models.