OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild 事件

OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild arXiv:2511.08423v3 Announce Type: replace Abstract: A truly universal AI-Generated Image (AIGI) detector must simultaneously generalize across diverse generative models and varied semantic content. Current methods learn a single, entangled forgery representation, conflating content-dependent flaws with content-agnostic artifacts, and are further constrained by outdated benchmarks. We propose OmniAI