Huang Bei, Mo Lequn, Tang Xiaojiang, Luo Ling
School of art design, Guangdong University of Technology, Guangzhou, China.
School of Information, Guangdong Communication Polytechnic, Guangzhou, China.
PLoS One. 2024 Dec 5;19(12):e0313909. doi: 10.1371/journal.pone.0313909. eCollection 2024.
With the development of society, modern design elements are increasingly integrated into traditional garden design, forming a novel style fusion that improves both aesthetics and the sustainability of the social-ecological system. This study explores the application of style transfer algorithms to seamlessly integrate the aesthetics of traditional landscape paintings with virtual scenes of classical private gardens. The effectiveness of the method is verified through a series of experiments using virtual scenes of the Humble Administrator's Garden and various landscape paintings representing different artistic styles. The experimental results demonstrate that the style transfer technique can accurately replicate the aesthetic features of traditional paintings and integrate them into the virtual garden environment. This approach highlights the potential of combining cultural heritage with advanced technological methods, indicating that the technology has great potential to innovate garden design by promoting the synergy between cultural heritage and technological innovation. By promoting the integration of traditional aesthetics and modern design principles, we contribute to the sustainability and richness of the social-ecological system and provide a framework for future digital preservation and restoration applications of urban cultural heritage. The code for implementing TRD-Net is available at https://github.com/huangbei029/Hybrid-Garden-StyleNet-dd/tree/main.
随着社会的发展，现代设计元素越来越多地融入传统园林设计中，形成了一种新颖的风格融合，提升了美学效果以及社会生态系统的可持续性。本研究探索风格迁移算法的应用，以将传统山水画的美学与古典私家园林的虚拟场景无缝融合。通过使用拙政园的虚拟场景以及代表不同艺术风格的各类山水画进行一系列实验，验证了该方法的有效性。实验结果表明，风格迁移技术能够准确复制传统绘画的美学特征，并将其融入虚拟园林环境。这种方法凸显了将文化遗产与先进技术方法相结合的潜力，表明该技术在促进文化遗产与技术创新的协同作用以创新园林设计方面具有巨大潜力。通过推动传统美学与现代设计原则的融合，我们为社会生态系统的可持续性和丰富性做出贡献，并为城市文化遗产未来的数字保存和修复应用提供了一个框架。实现TRD-Net的代码可在https://github.com/huangbei029/Hybrid-Garden-StyleNet-dd/tree/main获取。
