FALCON-Net: Feature Aggregation of Local Patterns for AI-Generated Image Detection

Summary

FALCON-Net is a detector for AI-generated images that combines two modules: the Intrinsic Noise Pattern Isolation (INP) module, which isolates device-specific noise by analyzing high-frequency features in the frequency domain, and the Local Variation Pattern (LVP) module, which models relationships between local pixels to capture unnatural intensity variations. The source reports state-of-the-art detection performance and good generalization to unseen generative models, and the code is available at https://github.com/humiaomiaohaha/FALCON-Net.