In practice, many design practices focus on graphic layout, such as branding and advertising design. As the demand for interior layout is increasing, the technology of automatic model generation is receiving considerable attention from researchers in the field of interior layout. To address the numerous problems in current interior layout design, this study recommends conducting research on interior layout optimization methods using single-sample data. For a small-scale indoor scene, the study proposes the use of a scene redirection algorithm that incorporates a multi-scale model. By incorporating a redirection operation during the layout process, the algorithm can adjust the layout while maintaining its integrity, resulting in a more rational and optimized layout. The experimental results showed that the execution time of the comparison algorithm exceeded 2 hours, and the redirection algorithm stopped before obtaining the results. This indicated that the redirection algorithm took less time and was more effective in solving complicated problems. The redirection-based optimization algorithm facilitates the rapid generation of logical and refined interior layout models, enabling automation and robust support for the interior design industry.
