CoDA is a lightweight detector using a Noise-Quantization Probe on color non-uniformity that reports strong cross-domain results on the new FakeForm benchmark and competitive cross-model performance on standard tests.
Evaluating gener- ative models via one-dimensional code distributions,
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CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection
CoDA is a lightweight detector using a Noise-Quantization Probe on color non-uniformity that reports strong cross-domain results on the new FakeForm benchmark and competitive cross-model performance on standard tests.