Application of Digital Art Technology in Architectural Heritage Preservation and Digital Reconstruction in the Construction Industry

被引：0
作者：
Qi Z. [1 ]
Kang C. [1 ]
Wang P. [1 ]
Li W. [1 ]
机构：
[1] College for Creative Studies, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, Jiangsu
来源：
Computer-Aided Design and Applications | 2024年 / 21卷 / S11期
关键词：
Architectural Heritage Preservation; Construction Industry; Digital Art; Digital Reconstruction; Generative Adversarial Neural Network;
D O I：
10.14733/cadaps.2024.S11.14-27
中图分类号：
学科分类号：
摘要：
Modern digital art technology has changed the way of architectural heritage protection and interpretation, and the research of architectural heritage protection workers and related experts in the field of architectural cultural heritage protection lies not only in recording and dissemination, but also in architectural research and value reconstruction. As digital art technology can reconstruct architectural heritage electronically, it provides new research thinking for architectural heritage preservation. Therefore, this paper proposes a digital reconstruction method based on Generative Adversarial Neural Network (GAN) for architectural heritage preservation and restoration. Firstly, the GAN is improved by using U-Net and expanding the sensory field by adding null convolution to fully extract the available information of the architectural heritage images, and a dual discriminative network combining local and global is adopted to ensure the overall consistency of the restored architectural heritage images. In addition, WGAN-GP is utilized to strengthen the network training stability. © 2024 U-turn Press LLC.
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页码：14 / 27
页数：13
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