| id |
cdrf2019_169 |
| authors |
Yubo Liu, Yihua Luo, Qiaoming Deng, and Xuanxing Zhou |
| year |
2020 |
| title |
Exploration of Campus Layout Based on Generative Adversarial Network Discussing the Significance of Small Amount Sample Learning for Architecture |
| doi |
https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_16
|
| source |
Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) |
| summary |
This paper aims to explore the idea and method of using deep learning with a small amount sample to realize campus layout generation. From the perspective of the architect, we construct two small amount sample campus layout data sets through artificial screening with the preference of the specific architects. These data sets are used to train the ability of Pix2Pix model to automatically generate the campus layout under the condition of the given campus boundary and surrounding roads. Through the analysis of the experimental results, this paper finds that under the premise of effective screening of the collected samples, even using a small amount sample data set for deep learning can achieve a good result. |
| series |
cdrf |
| email |
|
| full text |
 file.pdf (3,163,856 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/09/29 07:51 |
