Redefining Architectural Montage: The Synergistic Role of Artificial Intelligence in Contemporary Architectural Practice

Abstract

his study explores the application of Artificial Intelligence (AI) in contemporary architectural design, particularly in reshaping the architectural montage concept. The primary objective is to understand how AI, as a design tool, influences and transforms the methods and styles of architectural design. The research explores different applications of AI in architectural design that include assisting in conceptual design, generation and imitation of architectural styles, architectural model rendering and creation of effect images through literature review and case study analysis. The study summarises new perspectives and tools AI provides in architectural design, such as its data processing and pattern recognition capabilities, enabling designers to explore more complex and dynamic designs. The study demonstrates how AI creates and presents new architectural design concepts by analysing AI tools (such as Midjourney, Stable Diffusion, and DALL-E).Additionally, the research explores AI's ability to rapidly generate architectural content from "low information" to "high information" and to transform non- architectural information into architectural design inspiration, as well as its potential to enhance the efficiency of design communication. The findings indicate that AI impacts architectural design at a technical level and reshapes the concept of architectural montage in artistic and cultural significance. Despite specific challenges, such as ethical and aesthetic issues of AI in architectural design, the introduction of AI undoubtedly provides new possibilities for architectural practice, driving innovation and development in the design field.