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Smoothing the Semantic Landscape: Generalizable AI-Generated Image Detection via Text-Induced Flatness
Recent advances in generative models have exposed a fundamental weakness of image fake detectors: they often fail to generalize to unseen synthesis methods. We attribute this failure to an optimization pathology in which detectors overfit to source-coupled artifacts and converge to sharp solutions,
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