Generating Interior Design from Text: A New Diffusion Model-Based Method for Efficient Creative Design

Because interior design is subject to inefficiency, more creativity imperative. Due the development of artificial intelligence diffusion models, utilization text descriptions for generation creative designs has become a novel method solving aforementioned problem. Herein, we build unique decoration style dataset. Thus, solve problem pertaining need datasets, propose new loss function that considers style, and retrain model using this The trained learns knowledge can generate an through text. proposed replaces designer’s drawing with computer-generated design, thereby enhancing efficiency generation. Specifically, images specific styles spatial functions end from descriptions, generated are easy modify. This efficiently various designs, promote enhance decision-making efficiency.