Research on the Application of CGAN in the Design of Historic Building Facades in Urban Renewal—Taking Fujian Putian Historic Districts as an Example(Training set for machine learning)

Published: 19 June 2023| Version 2 | DOI: 10.17632/hp95rw6m6p.2


This dataset is about the paper "Research on the Application of CGAN in the Design of Historic Building Facades in Urban Renewal—Taking Fujian Putian Historic Districts as an Example".In recent years, artificial intelligence technology has widely influenced the field of design, bringing new ideas to efficiently and systematically solve urban renewal design problems. The purpose of this study is to create a stylized generation technology for building facade decoration in historic blocks, which will aid in the design and control of block style and form. The goal is to use the technical advantages of conditional generative adversarial network (CGAN) in image generation and style transfer to create a method for independently designing a specific facade decoration style by in-terpreting image data of historical block facades. The research in this paper is based on the historical district of Putian in Fujian Province, through an experiment of image data acquisition, image processing and screening, model training, image generation, and style matching of the target area. The research found that: (1) CGAN technology can better identify and generate the decorative style of historical blocks. It can realize the overall or partial scheme design of the facade; (2) in terms of adaptability, this method can provide a better scheme reference for historical block reconstruction, facade renovation, and renovation design projects. Especially for blocks with obvious decorative styles, the visualization effect is better. In addition, it also has certain reference significance for the determination and design of the facade decoration style of a specific historical building; (3) This method can better learn the internal laws of the complex block style and form so as to generate a new design with a clear decoration style attribute. It can be extended to other fields of historical heritage protection to enhance practitioners' stylized control of the heritage environment and im-prove the efficiency and ability of professional design.



Putian University, Macau University of Science and Technology


Machine Learning, Urban Design


CITT(Guangzhou) Enterprise Key Funding Project "Information System Engineering and Con-struction Engineering Testing"


Putian Science and Technology Program Project "Application Research of 3D Laser Scanning Technology in Digital Protection of Mazu Buildings"


Fujian Provincial Social Science Fund Project "Evidence-Based Research on the Age-appropriateness of Urban Community Parks under the Background of Active Aging"