RNSIDNet detects synthetic images by using CLIP RGB features to dynamically modulate Bayar-convolution noise residuals, trained with a hard-sample-aware contrastive loss.
Genimage: A million-scale benchmark for detecting AI-generated image, in: Advances in Neural Information Processing Systems, pp
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Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning
RNSIDNet detects synthetic images by using CLIP RGB features to dynamically modulate Bayar-convolution noise residuals, trained with a hard-sample-aware contrastive loss.