Master’s Student
School of Architecture
Georgia Institute of Technology
Email:wchunlan07@gmail.com
Academic Works
Computational Design
HCI/DM
Architecture
Professional Projects
Architecture
Publications
About
CV
Portfolio
Master’s Student
School of Architecture
Georgia Institute of Technology
Email:wchunlan07@gmail.com
Academic Works
Computational Design
HCI/DM
Architecture
Professional Projects
Architecture
Publications
About
CV
Portfolio
ARCH 7030 Media + Modeling 3
Instructor:Patrick Kastner, PhD
Team:Chunlan Wang,Yichao Shi,Changda Ma,Hang Xu
Period:2024 Fall
Software:Figma/Stable Diffusion/Python
Traditional Chinese gardens possess considerable cultural and aesthetic significance and demonstrate complexity in their architectural expression. The design of landscape architecture that includes Chinese gardens requires extensive expertise. Although AI models such as Stable Diffusion are employed for creating architectural conceptual drawings, there are presently no adequate and controllable tools for generating masterplans for Chinese gardens. This study aims to develop an interactive, user-centered methodology for designing traditional Chinese gardens that integrates a user-friendly interface and dynamic inputs. This project offers a collection of tools, comprising generative AI models and web application interfaces. These tools allow users to input the area proportions of masterplan components, such as pavilions or pavement, to produce a color scheme. They can subsequently employ brushes to modify the layout. Ultimately, these schemes can be used as inputs to render the masterplan by providing text prompts on drawing styles. With the help of this implementation, users were able to create garden designs that were both accurate and aesthetically pleasing.
The generated masterplans under different colour schemes.