A single simple patch is all you need for AI-generated image detection

Our lab has recently been exploring AI-generated image detection, specifically distinguishing whether an image is real or AI-generated. We made an interesting discovery: by extracting high-frequency noise information using SRM from the simplest patch found in the image and feeding it into a binary classifier, excellent results can be achieved. Moreover, the method is highly robust with strong generalization capabilities. We have named this method Single Simple Patch (SSP), and the entire process is illustrated in the diagram below. For …

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