Research on Jewelry 3D Design Based on AI Data Prompting

The purpose of this study is to verify the empirical feasibility of jewelry 3D design using AI-based text and image data prompting. With recent advances in AI technology, the need for more efficient 3D data generation has been highlighted compared to traditional methods of 3D modeling. Accordingly, this study verifies the design intention and 3D data validity of the generated 3D model based on text and image data prompting principles derived from prior research. As a result of the study, expert FGI positively evaluated the design intention of the 3D model, scoring 3.93 out of 5 for text prompting and 3.40 out of 5 for image prompting. As a result of mesh structure, normal direction, and manifold verification to confirm the data validity of the 3D model, a number of jewelry 3D designs satisfied the validity criteria. This study is significant in that it verifies both the design intention based on the emergent properties of AI and the data validity for 3D printing, thereby suggesting the potential of an AI-based, data-driven approach to enhance productivity in the jewelry industry.

Authors

Publication Details

Journal
Korea Institute of Design Research Society
Published
2025-09-30
DOI
https://doi.org/10.46248/kidrs.2025.3.34
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Research on Jewelry 3D Design Based on AI Data Prompting

Hye Rim Kang
Korea Institute of Design Research Society
3D Shape Modeling and Analysis
article

Research on Jewelry 3D Design Based on AI Data Prompting

Hye Rim Kang
article en

Abstract

The purpose of this study is to verify the empirical feasibility of jewelry 3D design using AI-based text and image data prompting. With recent advances in AI technology, the need for more efficient 3D data generation has been highlighted compared to traditional methods of 3D modeling. Accordingly, this study verifies the design intention and 3D data validity of the generated 3D model based on text and image data prompting principles derived from prior research. As a result of the study, expert FGI positively evaluated the design intention of the 3D model, scoring 3.93 out of 5 for text prompting and 3.40 out of 5 for image prompting. As a result of mesh structure, normal direction, and manifold verification to confirm the data validity of the 3D model, a number of jewelry 3D designs satisfied the validity criteria. This study is significant in that it verifies both the design intention based on the emergent properties of AI and the data validity for 3D printing, thereby suggesting the potential of an AI-based, data-driven approach to enhance productivity in the jewelry industry.

Korea Institute of Design Research SocietyVol. 10(3)
Openalex Percentile: Top 70%
3D Shape Modeling and Analysis
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