COMPARISON OF AI-GENERATED CONCEPTUAL INTERIOR DESIGNS USING STANDARDIZED PROMPTS IN VARIOUS AI MODELS
Öz
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.
Anahtar Kelimeler
AI-generated interior visuals, Text-to-image AI models, Interior design evaluation, AI in design visualization, AI models comparison
Etik Beyan
Before commencing the experiment, which is the chosen research method, the Antalya Bilim University Natural and Applied Sciences Scientific Research and Publication Ethics Committee, in their decision dated September 12, 2024, and marked as 2024/05, unanimously agreed that the applicant bears the responsibility for the research's methodology and scope, in alignment with ethical, legal, and copyright considerations, making it ethically sound to carry out the study.
Kaynakça
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