SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models 事件

SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models arXiv:2601.22276v2 Announce Type: replace-cross Abstract: 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