The author argues that identifying AI-generated images is crucial due to the rise of realistic fake images, proposing a novel detector based on texture patches and inter-pixel correlation contrast for improved accuracy.
Generative models can produce realistic images, but the risk of disseminating false information exists. This paper introduces Diffusion Noise Feature (DNF) to enhance the detection of generated images by exploiting distinct latent representations.