Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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Research on the Application of a New Generation of Artificial Intelligence in Urban Planning and Landscape Design Teaching

Authors
Yang Su1, 3, 4, Huang Liang1, Hong Liang1, Yali Lai2, Mingtao Fan2, Huang Fang1, Kang Lin1, Zhou Wei1, Chaoqun Yuan1, Hanbing Xia1, Xinhao Chen1, Jose Manuel Almodovar Melendo3, *
1School of Art and Design, Zhejiang Gongshang University Hangzhou College of Commerce, 311508, Tonglu, Hangzhou, China
2Shenzhen Yatao International Design Co., LTD, 518110, Shenzhen, China
3School of Architecture, University of Seville, Av. Reina Mercedes 2, 41012, Seville, Spain
4Academy of Mechanical and Electrical Engineering, Gengdan Institute of Beijing University of Technology, Beijing, 101301, China
*Corresponding author. Email: jmalmodovar@us.es
Corresponding Author
Jose Manuel Almodovar Melendo
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_102How to use a DOI?
Keywords
Artificial Intelligence; AICG; Urban Planning and Landscape Design Teaching
Abstract

In landscape architecture education, artificial intelligence idea Generation (AICG) technologies, including ChatGPT, Stable Diffusion and Midjourney, are leading a revolution in education. These technologies, with their powerful data processing and generation capabilities, have brought unprecedented opportunities to landscape architecture teaching. ChatGPT’s natural language processing ability greatly promotes the communication efficiency of students in the expression of design concepts and document writing, making the communication of design ideas more accurate and smooth. Stable Diffusion’s image generation technology significantly improves the efficiency and visual effects of the design process by quickly generating high-quality design sketches and renderings. Midjourney’s image synthesis capabilities provide rich visual materials and inspiration for urban planning and landscape design, stimulating students’ creativity. Taking the teaching of urban planning and landscape design in Hangzhou Business School of Zhejiang Gongshang University as an example, this paper confirms the remarkable effect of AICG technology in improving students’ design skills and creativity, and provides reference experience for the promotion of a new generation of artificial intelligence in design teaching.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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<Previous Article In Volume
Volume Title
Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_102How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yang Su
AU  - Huang Liang
AU  - Hong Liang
AU  - Yali Lai
AU  - Mingtao Fan
AU  - Huang Fang
AU  - Kang Lin
AU  - Zhou Wei
AU  - Chaoqun Yuan
AU  - Hanbing Xia
AU  - Xinhao Chen
AU  - Jose Manuel Almodovar Melendo
PY  - 2026
DA  - 2026/04/24
TI  - Research on the Application of a New Generation of Artificial Intelligence in Urban Planning and Landscape Design Teaching
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 951
EP  - 962
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_102
DO  - 10.2991/978-94-6239-648-7_102
ID  - Su2026
ER  -