An Assembly Support System Based on 3D Part Retrieval via Natural Language
Abstract
We propose an approach that leverages existing high-quality 3D model datasets by retrieving and combining components at the part level. Specifically, the user inputs a textual description of a desired part, such as “chair leg,” and the system retrieves multiple candidate parts from a database, from which the user selects and places a preferred one by clicking. By repeating this process, the system aims to enable even users without specialized knowledge to incrementally assemble a 3D model.
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Seiji Nakase, Makoto Okabe
An Assembly Support System Based on 3D Part Retrieval via Natural Language
Master’s Thesis Interim Report, January 2026