AI RESEARCH
ImageAttributionBench: How Far Are We from Generalizable Attribution?
arXiv CS.CV
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ArXi:2605.12967v1 Announce Type: new The rapid advancement of generative AI has enabled the creation of highly realistic and diverse synthetic images, posing critical challenges for image provenance and misinformation detection. This underscores the urgent need for effective image attribution. However, existing attribution datasets are constrained by limited scale, outdated generation methods, and insufficient semantic diversity - hindering the development of robust and generalizable attribution models. To address these limitations, we