To this end, the automatic layout design should add the way natural elements are reflected in the indoor landscape and the principle of using natural elements in the indoor landscape. In the automatic layout of interior design, the public’s emphasis on natural elements has become an indispensable part of the interior landscape. For example, when designing a psychiatric hospital, there is a positive impact on the health of patients. The automatic layout of the indoor automatic area design should consider the location of the indoor area wall and, more importantly, consider the needs of the occupants. Chinese interior design style symbolizes traditional Chinese culture, and many contemporary designs make it possible to integrate popular elements into modern Chinese interior design while inheriting traditional Chinese architectural Wenhua, forming a new style, and promoting the development of modern interior design. Today’s Chinese society continues to grow and develop with the improvement of China’s international status, China’s traditional architecture is more valued and imitated by famous designers across the country. In the long history of 5,000 years, China has formed a unique set of architectural styles and concepts of its own, and China’s architectural style and interior design have been influencing neighboring countries since the feudal society. A large number of empirical results show that the interior area design effect of this method is comparable to the interior design floor plan of professional designers. Starting from the prediction living room, the automatic layout of the indoor areas is completed by iteration. By mimicking the designer’s design process, it proposes a two-stage algorithm that defines the room first and the wall later, and the algorithm also provides a large-scale dataset called RPLAN that contains more than 80,000 interior layout plans from real residential buildings. CNN methods are a fast and efficient method. This paper proposes an automatic layout method for spatial area design based on convolutional neural networks (CNN). The future of computer science and technology in the field of automatic design of indoor areas will be immeasurable. The diversification of existing room types and the diversity of the public’s perception of fashion make interior designers in short supply. With the rapid rise in the number of people buying houses, the demand for interior space design has also increased accordingly.
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