DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection

2 code implementations • 7 Dec 2023 • Chunlei Peng, Huiqing Guo, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao

Considering the complexity of the quality distribution of both real and fake faces, we propose a novel Deepfake detection framework named DeepFidelity to adaptively distinguish real and fake faces with varying image quality by mining the perceptual forgery fidelity of face images.

DeepFake Detection Face Swapping