Previous studies have shown that GAN has made some progress in the generation of campus layout plan, but the result is single output for single input condition. This paper hopes to make some attempts and explorations on the diversity generation of campus planning layout design by machine learning. Based on Pix2Pix model, this paper proposes a method to divide image channels so that both the campus function bubble diagram and the site boundary can both become the input conditions. There is a strong correspondence between the campus functional bubble diagram and the campus layout. The main idea of this study is to control the generated results by changing the input of the campus functional bubble diagram, so that we can have a diversity layout of campus according to the same site conditions. In the experiment, we train thirty samples of campus planning layout design, and finally evaluate the generated results in a qualitative and quantitative way, which proves that the generated results are relatively ideal. This research enables designers to participate in the process of machine learning generative design to control the generation results.


    Access

    Download


    Export, share and cite



    Title :

    Exploration on Diversity Generation of Campus Layout Based on GAN


    Additional title:

    Computational Design and Robotic Fabrication


    Contributors:
    Yuan, Philip F. (editor) / Chai, Hua (editor) / Yan, Chao (editor) / Li, Keke (editor) / Sun, Tongyue (editor) / Liu, Yubo (author) / Zhang, Zhilan (author) / Deng, Qiaoming (author)

    Conference:

    The International Conference on Computational Design and Robotic Fabrication ; 2022 June 27, 2022 - July 05, 2022



    Publication date :

    2023-04-04


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Exploration of Campus Layout Based on Generative Adversarial Network

    Liu, Yubo / Luo, Yihua / Deng, Qiaoming et al. | Springer Verlag | 2021

    Free access

    Layout research of campus traffic system based on system simulation

    Lian-fu, J. / Gai-tao, S. / Na, Z. et al. | British Library Conference Proceedings | 2009


    Layout Optimization of Campus Bike-Sharing Parking Spots

    Tangyi Guo / Jie Yang / Liu He et al. | DOAJ | 2020

    Free access

    Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze

    Liu, Yubo / Fang, Chenrong / Yang, Zhe et al. | Springer Verlag | 2021

    Free access

    Structural Layout Design Space Exploration and Structural Sizing of Aircraft Wingbox

    Sarojini, Darshan / Solano, David / Mavris, Dimitri N. | AIAA | 2022