AI RESEARCH
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
arXiv CS.CV
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ArXi:2603.23115v1 Announce Type: new The increasing realism of AI-Generated Images (AIGI) has created an urgent need for forensic tools capable of reliably distinguishing synthetic content from authentic imagery. Existing detectors are typically tailored to specific forgery artifacts--such as frequency-domain patterns or semantic inconsistencies--leading to specialized performance and, at times, conflicting judgments. To address these limitations, we present \textbf{AgentFoX}, a Large Language Model-driven framework that redefines AIGI detection as a dynamic, multi-phase analytical process.