diffusion-generated faces detection

Diffusion-based face detection is a cutting-edge technology in the field of computer vision that aims to analyze and identify face images generated by diffusion models to distinguish between real and synthetic faces. The core objective of this technology is to improve the accuracy of detecting synthesized images, ensuring the authenticity and security of digital content. Its application value is extensive, covering areas such as identity verification, content moderation, and cybersecurity, helping to guard against potential risks posed by deep fakes.