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Even state-of-the-art AI-generated image detectors struggle when images are cropped, resized, or compressed, revealing a critical gap in real-world robustness.
MLLMs can now spot subtle image forgeries with SOTA accuracy by strategically using forensic tools to expose hidden inconsistencies, outperforming traditional text-centric approaches.
