Amina Rakhimzhanova (아미나 락힘츠하노바) and Byeongjin Kim (김병진) presented a recent study at the 2025 Annual Autumn Conference of the Korean Institute of Illumination and Electrical Installation Engineers (한국조명·전기설비학회), held in Buyeo (부여). Amina delivered an insightful perspective on the use of AI in product lighting by introducing an AI-powered platform that enables designers to explore product lighting designs ranging from the most realistic representations to the most imaginative and creative speculations. The study received valuable feedback from lighting researchers — including suggestions to extend the study into physical and architectural lighting.

Abstract: 

We propose a generative AI–based platform that helps lighting designers rapidly speculate lighting concepts in home appliance products. Using GPT-4o and a five-factor aesthetic evaluation model—mystery, naturalness, interest, smartness, and luxuriousness—the system analyzes a user’s lighting concept prompt, retrieves relevant lighting reference images, and applies their color attributes to product renderings. It produces five variations of lighting applications, ranging from realistic to speculative, through a combined workflow of manual refinement and GPT-image-1 models.  The platform enables designers to explore and speculate lighting scenarios in more creative and imaginative ways, opening new opportunities for creative speculation in lighting design.