Research on the Innovative Application of Song Dynasty Boundary Painting in Interior Soft Decoration Design Based on AIGC
Year: 2025
Type: article
Abstract: An analysis of the practice path and methodology system of Artificial Intelligence Generated Content (AIGC) technology has been conducted in the field of inheritance and innovation of boundary paintings from Song Dynasty. This paper aims to provide valuable reference and guidance for the application of AI technology in Song Dynasty boundary painting (Song painting) in the interior decoration design, so as to promote the effective integration of traditional aesthetics and modern design concepts. Firstly, the natural processing language model is used to generate the index layer suitable for the indoor soft decoration style of Song paintings, and the Analytic Hierarchy Process weight classification is used to select the cue words of the generated image. Secondly, Midjourney is used to generate Song Dynasty style images for keywords. Finally, Stable Diffusion control model is used to transfer the style of Song painting elements to interior decoration design. AIGC technology can effectively generate images with the style of Song painting elements, and play a unique role in style transfer and pattern design. It provides an innovative path for the integration of traditional art and modern design, and provides a wealth of possibilities for the modern application of Song painting. AIGC technology has significant potential in the inheritance and innovation of Song painting, which can bring new ideas and methods for interior decoration design, and contribute to the wide application and innovative development of Song painting art in the field of modern design.
Source: Buildings
Authors: Jingting Meng, Xingjia Fang, Jian Xu, Ziqi Zhang
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W4408868315