3D visualization system for urban buildings based on deep learning

Shuhuai Nie; Menglin Wang

doi:10.1117/12.2669825

24 February 2023 3D visualization system for urban buildings based on deep learning

Shuhuai Nie, Menglin Wang

Proceedings Volume 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022); 125900D (2023) https://doi.org/10.1117/12.2669825
Event: 2022 3rd International Conference on Computer Vision and Information Technology (CVIT 2022), 2022, Beijing, China

Abstract

With the continuous development of the construction of digital communities, digital cities and digital earth, 3D model visualization technology has become a more important development direction. This paper took deep learning as the basic premise to design the 3D visualization model based on StyleGAN2 algorithm. That is, firstly, StyleGAN2 algorithm was used to segment the image, and Three JS was selected as the Web 3D visualization framework for the model; then the 3D visualization model based on StyleGAN2 algorithm was constructed. After testing and training the model for many times, the corresponding modeling image was acquired. After aligning this image and positioning coordinates, it was substituted in the suitable modeling scene, and finally the fast modeling of buildings was realized. The results show that StyleGAN2 algorithm has superior performance and high modeling efficiency, which can lead to lower modeling cost and thus promote the improvement of 3D visualization of urban buildings.

Citation Download Citation

Shuhuai Nie and Menglin Wang "3D visualization system for urban buildings based on deep learning", Proc. SPIE 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022), 125900D (24 February 2023); https://doi.org/10.1117/12.2669825

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KEYWORDS

Education and training

3D modeling

3D visualizations

Modeling

Design and modelling

Buildings

Data modeling

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