Research on Intelligent Assisted Design for Relieflike Digital Model Construction

In the context of the rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, we explore the application of these techniques in digitally reconstructing statues from the Shuilu Temple in Shaanxi Province, China. The research utilizes the Stable Diffusion deep learning model to generate depth maps, which provide spatial height information, for constructing statue models. To address the inherent randomness in AI-generated content, ControlNet is introduced to precisely control the generation process. By leveraging these intelligent technologies, the study investigates new quality productive forces in the preservation and revitalization of cultural heritage.