Research on the construction of intelligent aided design tool for automobile shape based on stable diffusion

With the wide application of AI technology, AIGC is gradually establishing its core position in the field of intelligent design. Its powerful data processing and pattern recognition capabilities provide more reliable and diverse decision support for the design process. In the field of industrial equipment design, Stable Diffusion has significant advantages as an AIGC tool. In order to further explore its application potential in automobile appearance design and optimize the design process, this paper proposes a set of innovative intelligent generative design methods based on Stable Diffusion assistance from the aspects of data set construction and model training, and tests its design generation ability. Aiming at the process of building intelligent aided design tools, this study provides a reproducible realization path for intelligent design, which has important reference.

Authors

Publication Details

Journal
IET conference proceedings.
Published
2025-01-09
DOI
https://doi.org/10.1049/icp.2024.4261
Citations
1
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
3.54
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article

Research on the construction of intelligent aided design tool for automobile shape based on stable diffusion

Yikun Wang
1 citations
IET conference proceedings.
Digital Media and Visual Art
3.54
article

Research on the construction of intelligent aided design tool for automobile shape based on stable diffusion

Yikun Wang
article en
1 citations

Abstract

With the wide application of AI technology, AIGC is gradually establishing its core position in the field of intelligent design. Its powerful data processing and pattern recognition capabilities provide more reliable and diverse decision support for the design process. In the field of industrial equipment design, Stable Diffusion has significant advantages as an AIGC tool. In order to further explore its application potential in automobile appearance design and optimize the design process, this paper proposes a set of innovative intelligent generative design methods based on Stable Diffusion assistance from the aspects of data set construction and model training, and tests its design generation ability. Aiming at the process of building intelligent aided design tools, this study provides a reproducible realization path for intelligent design, which has important reference.

IET conference proceedings.Vol. 2024(21)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Digital Media and Visual Art
3.54
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