What is the difference between point cloud and 3DGS? How to choose between viewing, measuring and delivering
Compare traditional point clouds to 3D Gaussian Splatting for data structure, photorealism, measurement, editing, web presentation, and professional delivery.
Both point clouds and 3DGS represent the real world from a large number of spatial points, but the meaning and use of the data are different. Traditional point clouds place more emphasis on geometric coordinates and measurements, while 3DGS places more emphasis on rendering realistic appearances from any viewing angle. Which one to choose should be based on the use of the results rather than the visual impression.
What does traditional point cloud express?
Traditional point clouds are usually produced by laser scanning, photogrammetry or depth equipment, and each point contains spatial coordinates and can be accompanied by color, intensity or classification information. It is commonly used for surveying, modeling, engineering review, and facility documentation. Whether point cloud can be used for high-precision measurement depends on the equipment, control method, registration and quality verification. It cannot just look at the number of points.
What does 3DGS express?
3D Gaussian Splatting represents a scene using Gaussian primitives with position, scale, orientation, color, and transparency, with a focus on quickly rendering a realistic appearance from new perspectives. It is usually suitable for space roaming, cultural tourism display, real estate display, commodity vision and real-life restoration of complex materials.
How viewing and editing differ
Point cloud software usually provides cropping, classification, registration, measurement and format conversion; 3DGS viewers focus more on camera roaming, rendering quality, cropping, background and display interaction. Professional desktop software can manage photos, point clouds, meshes and 3DGS results in the same project, but corresponding acceptance methods should still be used for different results.
When is it necessary to use fusion?
When a project requires both realistic display and stable geometry or scale review, LiDAR point clouds, photogrammetry results, and 3DGS results can be managed in a unified coordinate or project system. Industrial facilities, for example, can use point clouds to support spatial review while using 3DGS to provide a more intuitive remote viewing experience.
Frequently asked questions
Can 3DGS replace laser point clouds?
There is no one-size-fits-all answer. 3DGS excels at photorealistic rendering, while laser point clouds excel at recording geometric coordinates. For engineering measurement and accuracy commitments, select the right equipment, control points and verification workflow, and combine both methods where needed.
Does the PLY file have to be a point cloud?
uncertain. PLY is a container format that can save point, color, normal, surface and Gaussian related properties. Determining the content type requires looking at the file attributes and software used.