Quality-Guided Forgery Adapter for Generalizable AIGC Image Detection

Summary

QAFD is a Quality-Assisted Forgery Detection framework for AI-generated image detection that adds image quality information to the detection process. It fuses class-based content prompts with quality-aware text prompts through a quality queried attention block, and uses a Quality-Guided Forgery Adapter (QGFA) to improve spatial and frequency-based artifact features. The authors report superior generalization to unseen generative models across three datasets and robustness to common post-processing operations.