Triplane generator-based NeRF-GAN framework for single-view ship reconstruction

Triplane generator-based NeRF-GAN framework for single-view ship reconstruction

Acquiring sufficient visual information for the three-dimensional (3D) reconstruction of ships in navigation is particularly challenging. With the evolution of 3D reconstruction methodologies predicated on neural rendering, the computational pipeline for 3D reconstruction has undergone enhancements...

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Bibliographic Details
Main Authors: Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
3D Environment perception
single view ship reconstruction
maritime digital twin
neural radiance field
generative adversarial network
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2496406
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https://www.tandfonline.com/doi/10.1080/17538947.2025.2496406

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