AI RESEARCH
Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection
arXiv CS.CV
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ArXi:2604.27875v1 Announce Type: new AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich semantic representations and frequency-based methods capture complementary artifact cues, existing approaches that combine these modalities still suffer from limited generalization, with notable performance degradation on unseen generative models.