LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection

ArXi:2605.04445v1 Announce Type: new The rapid advancement of generative technologies has made synthetic images nearly indistinguishable from real ones, thereby creating an urgent need for robust detectors to counter misinformation. However, existing methods mainly rely on universal artifact features that are shared across multiple generators. We observe that as the diversity of generators increases, the overlap of these common features gradually decreases. This severely undermines model generalization.