This study introduces an AI-driven method for generating interior design visualizations using ControlNet, which effectively interprets blueprints and sketches to produce high-quality visualizations. By focusing on improving PSNR and SSIM metrics, the approach ensures structural accuracy and aesthetic appeal, demonstrating ControlNet's capability to capture detailed design information. The results showcase the model's potential to assist designers in creating refined and visually coherent interior design concepts, highlighting the benefits of AI integration in the design process.
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Ziyi Qin (2024) studied this question.
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