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ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

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

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