Brand Gene-Informed Artificial Intelligence Generated Content (AIGC) for the Styling Design of Motorcycle Headlights

Abstract

This study aims to utilize Artificial Intelligence Generated Content (AIGC), specifically using the Stable Diffusion model to enhance the headlight design of CFMOTO's SR series motorcycles in China. The study focuses on a design strategy anchored in the brand's genetic makeup, the research delves into the visual and cultural DNA of the SR series, extracting both explicit and implicit brand genes. These insights guide the AI to both continue the brand's lineage and diversify the product design.The effectiveness of AI-generated design samples is evaluated using the entropy weight TOPSIS method. Empirical results suggest that AIGC, when guided by brand genes, more accurately captures and extends the brand's core design and values, providing new creative perspectives for motorcycle headlight design.

Keywords: Intelligence Generated Content (AIGC), Brand Gene, Motorcycle Headlight Design, Stable Diffusion, Industrial Design

DOI: 10.54941/ahfe1005120