%0 Journal Article
%T 人工智能绘画技术在街道空间设计中的应用研究<br>Application of Artificial Intelligence Painting Technology in Street Space Design
%A 陈番毫
%A 陈荣强
%A 王晓晗
%A 孙卓栋
%A 吴启文
%J Design
%P 2288-2301
%@ ****-****
%D 2023
%I Hans Publishing
%R 10.12677/Design.2023.84277
%X 目的：利用人工智能绘图技术在街道空间设计应用过程中提升效率，满足高质量效果图渲染需求，以及设计师愉快的设计体验的探索。方法：基于当前热门的开源AI绘画软件“Stable Diffusion”，邀请相关专家学者线下操作该绘图软件的3条绘图路径，图生图、文生图、分割生图(分割生图原理基于图像色块分割技术和图像重建技术)。建立探索AI绘画技术对于街道空间设计应用中的可用性定量研究任务；收集反馈，针对应用中展示效果图层面的清晰性、一致性、可用性，和应用过程体验的效率性、易学性，进行定量的分析测度。结果：现如今的AI绘画技术可以快速地识别和解决问题，大大缩短设计周期和成本，但不同路径的应用效果在空间设计领域也具有一定差异。其中，图生图路径出图效率最快，而分割生图路径的出图效果更适合环境空间设计用户的使用。根据不同技术路径的影响机制进一步提出优化策略。结论：人工智能绘图技术的发展更迭，推动了街道设计中表现方法的更新。人工智能绘图技术对于街道空间设计相关者，不仅促进设计效率，降低设计成本，实现高效表达与良好设计体验等方面具有重要的现实意义。<br />
Objective: To use artificial intelligence drawing technology to improve efficiency in the application process of street space design, meet the needs of high-quality renderings rendering, and explore the pleasant design experience of designers. Method: Based on the popular open source AI painting software “Stable Diffusion”, relevant experts and scholars are invited to operate three drawing paths of the drawing software, drawing, text, and segmentation (the principle of segmentation drawing is based on image color block segmentation technology and image recon-struction technology). Establish the quantitative research task of exploring the availability of AI painting technology for the application of street space design; collect feedback, and make quan-titative analysis and measurement for the clarity, consistency and availability of the rendering map level in the application, and the efficiency and learning of the application process experience. Result: The current AI painting technology can quickly identify and solve problems, greatly shortening the design cycle and cost, but the application effect of different paths also has certain differences in the field of space design. Among them, the drawing path drawing efficiency is the fastest, and the drawing effect of the segmentation drawing path is more suitable for the use of environmental space design users. The optimization strategy is further proposed according to the influence mechanism of different technical pathways. Conclusion: The development and change of artificial intelligence mapping technology has promoted the update of the expression methods in street design. Artificial intelligence drawing technology is of great practical significance for street space design stakeholders, which not only promotes design efficiency, reduces design cost, and realizes efficient expression and good design experience.
%K 人工智能，AI绘画，街道设计，可用性<br>Artificial Intelligence
%K AI Painting
%K Street Design
%K Usability
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=76482