目的 探究生成式人工智能(Generative Artificial Intelligence, GAI)对传统工业设计流程的革新作用,并提出一种基于GAI的汽车前脸造型设计方法。方法 首先,应用GPT-4o归纳分析消费者对汽车前脸造型的感性需求,并提取典型意象需求;其次,利用Midjourney生成符合典型意象需求的汽车前脸造型,以构建造型参考资料库;再次,选取基础造型并设定目标意象,同时结合专家与消费者评价,从资料库中筛选符合目标意象的参考造型;最后,基于基础和参考造型,采用曲线掺合法生成创新的造型曲线,并应用Stable Diffusion将其转化为三维效果的备选方案。结果 设计评价结果显示,该方法能够有效生成兼顾汽车品牌特征与消费者感性需求的前脸造型。结论 基于GAI的汽车前脸造型设计方法能够提高汽车设计师的效率和创新性,进而启发设计师重新审视传统的工业设计流程。
Abstract
The work aims to explore the transformative impact of Generative Artificial Intelligence (GAI) on traditional industrial design processes and propose a GAI-based method for automotive front-end form design. Firstly, GPT-4o was employed to analyze and summarize consumers' emotional demands for automotive front-end forms and extract typical imagery needs. Next, Midjourney was utilized to generate automotive front-end forms in line with these typical imagery needs, thereby constructing a reference design database. Subsequently, a basic form was selected and a target imagery was assigned, while expert and consumer evaluations were used to filter reference forms from the database that best matched the target imagery. Finally, an innovative form curve was generated through a curve blending method, and Stable Diffusion was applied to transform the design into three-dimensional rendered concepts. Design evaluation results indicated that the proposed method effectively generated the front-end form that balanced brand identity with consumers' emotional demands. The GAI-based design method improves the efficiency and creativity of car designers, inspiring them to reexamine traditional industrial design processes.
关键词
生成式人工智能 /
汽车前脸造型 /
工业设计流程 /
Midjourney /
Stable Diffusion
Key words
Generative Artificial Intelligence (GAI) /
automotive front-end form /
industrial design process /
Midjourney /
Stable Diffusion
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基金
国家自然科学基金项目(52405252); 辽宁省社会科学界联合会青年项目(2026lslqnkt-040); 教育部人文社科学研究规划基金项目(22YJA760072)