I. Overview
3D Gaussian Splatting, a breakthrough technology in 3D scene reconstruction and rendering in recent years, is rapidly gaining popularity in GIS (Geographic Information Systems), especially in scenarios such as digital twins, city-level modeling, and dynamic scene simulation. This article will introduce Gaussian Splatting and teach you how to convert Gaussian Splatting files to 3DTiles format using GISBox.
II. What is a Gaussian Splatting File?
Gaussian Splatting is a real-time radiation field rendering technology based on a 3D Gaussian distribution. It represents a scene as millions of optimizable 3D Gaussian ellipsoids (such as PLY, Splat, SPZ formats), storing their position, shape, color, and other parameters to achieve efficient point cloud rendering and 3D reconstruction.
III. Converting Gaussian Splatting to 3DTiles
- Open GISBox software, select "Gaussian Splatting " in the conversion, add the local Gaussian format file to "New Conversion Task," and select a suitable export path.
- "Spatial Reference" and "Zero-Point Coordinates" will be automatically generated based on the imported PLY/Splat Gaussian splash format file.
- After clicking "OK," a completed task will be displayed in the "Completed Tasks" section of the tile conversion. Users can click the "Jump to Distribution List" button to directly jump to the 3DTiles service under "Service Distribution."
- Users can click the "Cesium" preview frame to directly jump to a browser for a preview of the effect.
- The generated service address can be directly used in the Cesium engine or digital twin projects, such as the Mountain & Sea Whale visualization.
IV. Conclusion
In summary, Gaussian splash technology, with its core advantages such as high rendering speed, no need for neural networks, and flexibility, demonstrates significant value in the fields of 3D scene reconstruction and GIS applications. Efficiently converting it to 3DTiles format using the GISBox tool further streamlines the critical path from technology development to practical project implementation, providing a lightweight, high-quality solution for scenarios such as digital twins and urban modeling.






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