COMPARISON OF AI-GENERATED CONCEPTUAL INTERIOR DESIGNS USING STANDARDIZED PROMPTS IN VARIOUS AI MODELS

Authors : Mehmet Uğur Kahraman, Yaren Şekerci, Enes Can Kılıç

Pages : 1365-1386

Doi:10.7456/tojdac.1736051

View : 28 | Download : 38

Publication Date : 2025-10-01

Article Type : Research Paper

Abstract :This study evaluates the performance of three widely-used text-to-image AI models—DALL-E, MidJourney, and Stable Diffusion—in generating interior design visuals. Five standardized prompts, covering essential design elements such as architectural features, style, furniture, lighting, textiles, accessories, and layout, were provided to each AI model. The resulting visuals were then assessed by 15 experienced professionals and academics with over 10 years of expertise in interior design. Using a detailed rating system, the study found that MidJourney consistently outperformed the others, excelling in categories like design style, textiles, and lighting. DALL-E proved effective in generating architectural features but struggled with finer details, particularly in textiles and lighting. Stable Diffusion lagged behind in overall performance, especially in categories like layout and furniture. The study highlights the importance of prompt specificity in shaping AI-generated visuals and suggests areas for future improvement in AI models, particularly in complex design tasks.
Keywords : Yapay zekâ üretimi iç mekân görselleri, Metinden görsele yapay zekâ modell, İç mekân tasarımı değerlendirmesi, Tasarım görselleştirmede yapay zekâ, Yapay zekâ modellerinin karşılaştırılması

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