Synthetic Image Detection

Synthetic Image Detection is an important subfield of computer vision that aims to analyze the features and structure of images to determine whether they have been created or modified by generative models (such as GANs or diffusion models). The goal of this task is to enhance the ability to identify the authenticity of images, ensuring the credibility of digital content. It has significant application value in areas like media verification, cybersecurity, and legal forensics, effectively preventing the spread of false information.