Quality-Guided Forgery Adapter for Generalizable AIGC Image Detection

This research introduces QAFD (Quality-Assisted Forgery Detection), a new system for detecting AI-generated images by analyzing both visual features and quality-related artifacts that different generative models produce. The system uses a quality-guided approach to help AI models better understand degradation patterns in fake images, allowing it to detect AI-generated content more reliably even when tested on unseen generative models and images that have been edited after creation.