Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

arXiv:2403.06803v1 Announce Type: new
Abstract: Recently, the proliferation of increasingly realistic synthetic images generated by various generative adversarial networks has increased the risk of misuse. Consequently, there is a pressing need to develop a generalizable detector for accurately recognizing fake images. The conventional methods rely on generating diverse training sources or large pretrained models. In this work, we show that, on the contrary, the small and training-free filter is sufficient to capture more general artifact representations. Due to its unbias …

artifact arxiv cs.cv data deepfake detection free independent representation training type