AI RESEARCH
SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
arXiv CS.LG
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ArXi:2601.22276v2 Announce Type: replace As Text-to-Image (T2I) diffusion models are increasingly used in real-world creative workflows, a principled framework for valuing contributors who provide a collection of data is essential for fair compensation and sustainable data marketplaces. While the Shapley value offers a theoretically grounded approach to attribution, it faces a dual computational bottleneck: (i) the prohibitive cost of exhaustive model re