Diffusion Noise Feature: Accurate and Fast Generated Image Detection

arXiv:2312.02625v2 Announce Type: replace
Abstract: Generative models have reached an advanced stage where they can produce remarkably realistic images. However, this remarkable generative capability also introduces the risk of disseminating false or misleading information. Notably, existing image detectors for generated images encounter challenges such as low accuracy and limited generalization. This paper seeks to address this issue by seeking a representation with strong generalization capabilities to enhance the detection of generated images. Our investigation has revealed that real and generated …

abstract accuracy advanced arxiv capability challenges cs.cv detection diffusion false feature generated generative generative models however image image detection images information low noise risk stage type