ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs
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Computer Science > Computation and Language
arXiv:2609.00629 (cs)
[Submitted on 1 Sep 2026]
Title:ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs
Authors:Yuta Kato, Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
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Abstract:Large Vision-Language Models (LVLMs) achieve strong performance on image-grounded text generation and visual question answering. However, it remains difficult for them to comprehensively and accurately describe the factual relations among the entities and concepts associated with the objects depicted in an image. In this work, we propose a framework that efficiently exploits factual information from a knowledge graph via retrieval-augmented generation (RAG), with the goal of enabling LVLMs to generate detailed and accurate image explanations. Specifically, our method alternates between answer generation and knowledge-graph retrieval, and controls the search using a correctness judgment, thereby acquiring the necessary and sufficient factual information efficiently. We also construct a knowledge graph for the artwork domain (ExpArt-KG), in which the correspondence between images and entities is unambiguous. Applying the proposed method to this knowledge graph, we show experimentally that it improves the level of detail of artwork explanations and reduces the retrieval cost of external knowledge while maintaining generation quality comparable to that of iterating a fixed number of times.
| Subjects: | Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2609.00629 [cs.CL] |
| (or arXiv:2609.00629v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2609.00629
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs, by Yuta Kato and 6 other authors
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