Source Attribution of AI-Generated Images: a Principled Survey

Le résumé fourni par la source

This record contains the preprint version of a survey manuscript on source attribution of AI-generated images. The manuscript reviews existing approaches for tracing synthetic images back to their generative sources, with a focus on passive attribution methods. It organizes the literature under a unified conceptual framework, covering different attribution scenarios, methodological paradigms, attribution granularities, open-set settings, commonly used datasets, and remaining challenges in the field. PS: This version has not yet undergone formal journal peer review. The final published version, if accepted, may differ from this preprint.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.