A Hybrid Frequency-Spatial and Deep Ensemble Framework for Deepfake Image Detection
This work examines the problem of separating real face images from StyleGAN-generated face images in the 140k Real and Fake Faces dataset. The framework uses three detection branches: an FFT-based frequency-spatial CNN, a fine-tuned Xception model, and a fine-tuned ConvNeXt-Tiny model. The FFT branch is added to study...