RNSIDNet detects synthetic images by using CLIP RGB features to dynamically modulate Bayar-convolution noise residuals, trained with a hard-sample-aware contrastive loss.
Raise: A raw images dataset for digital image forensics, in: Proceedings of the ACM Multimedia Systems Conference, 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.