Application of 3D Image Generation Algorithm for Museum Space Design

Museum cohesion of human history and civilization is the crystallization of people's wisdom. It has an essential significance for people to trace history, understand history and culture, and enrich spiritual and cultural life. Museum space design should integrate information into the space and complete the story. It is necessary to coordinate the relationship between virtual images and spatial language, complete mutual interaction and practice, and comprehensively explain the content provided, which places higher demands on museum designers. This paper introduces 3D image generation technology into museum space design and proposes a two-stage image generation method based on a generative adversarial network (GAN) to enhance the image generation capability of a GAN. The experimentFal results show that the proposed algorithm can improve the number of generative patterns of the model, generate high-quality samples, and provide technical support for museum space design. © 2023 CAD Solutions,.