Abstract
Landscape architecture is a huge and complex discipline with strong cross-fertilization, which needs to be supported by massive resource databases and strong Analysis and processing capabilities. The traditional design methods need help. The digital landscape has become an important method of landscape architecture, and the development of Artificial Intelligence Generated Content (AIGC) provides new opportunities for the digitalization process. Through the introduction of related concepts, the article takes the dilemma faced by traditional landscape architecture as the main entry point, explores the application form of AIGC in landscape architecture workflow from three aspects: information analysis, design assistance, and innovation demand, and identifies that AIGC-enabled development is the road to the future of landscape architecture. Finally, it discusses the possible misconceptions of the process, aiming to provide new ideas for landscape architecture digital transformation and system restructuring.
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