AI RESEARCH
Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
arXiv CS.CV
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ArXi:2512.12982v2 Announce Type: replace The pursuit of a universal AI-generated image (AIGI) detector often relies on aggregating data from numerous generators to improve generalization. However, this paper identifies a paradoxical phenomenon we term the Benefit then Conflict dilemma, where detector performance stagnates and eventually degrades as source diversity expands.