ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs
This work proposes a framework that efficiently exploits factual information from a knowledge graph via retrieval-augmented generation via retrieval-augmented generation (RAG), with the goal of enabling LVLMs to generate detailed and accurate image explanations.
Y. Kato, Shintaro Ozaki, Kazuki Hayashi et al.
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