What is Gaussian Splatting

Gaussian Splatting is a technique that reconstructs real objects and scenes from photographs and represents them with millions of 3D Gaussians: small semi-transparent blobs with a position, shape, color and opacity. The result looks photorealistic from any angle and is drawn in real time.

Updated October 2026

Horse sculpture reconstructed with 3D Gaussian Splatting
A sculpture reconstructed with 3D Gaussian Splatting, as it looks in the web viewer.Explore it in 3D

Where it comes from

3D Gaussian Splatting (3DGS) was presented at SIGGRAPH 2023, in a paper by a team from Inria and the Max Planck Institute for Informatics. It came after neural radiance fields (NeRF, 2020), which already produced photorealistic images from photos but were slow to render.

The word splatting comes from computer graphics: a way of drawing in which each element is projected onto the screen as a blob. Here the blobs are shaped like a Gaussian, the bell curve from statistics. Hence the name.

How it works

  1. 01Many photographs of the subject or space are taken from different angles.
  2. 02A process called structure from motion works out where each photo was taken from and produces an initial point cloud.
  3. 03Each point becomes a Gaussian. An optimization process draws the scene, compares it with the photos and adjusts the Gaussians over and over until they match.
  4. 04During that fitting, Gaussians are added where detail is missing and removed where they are not needed. In the end a scene can hold millions.
  5. 05To view it, the Gaussians are sorted by depth and the graphics card draws them blending their transparency, in real time.

What each Gaussian stores

Position
Where it sits in space.
Shape
A scale and a rotation that make it a more or less elongated ellipsoid.
Opacity
How much of what is behind it shows through.
Color
A color that changes with the viewing angle, stored with spherical harmonics. That is how highlights and reflections are reproduced.

In the original uncompressed format each Gaussian takes about 250 bytes. With millions of them a scene can weigh hundreds of megabytes, which is why compressed formats exist for the web and mobile devices.

Gaussian Splatting formats

Compared with other techniques

Photogrammetry
Produces a textured polygon mesh. It gives geometry useful for measuring or 3D printing, but simplifies hair, reflections and transparency.
NeRF
Represents the scene with a neural network. Quality is high but rendering is slow. Gaussian Splatting reaches comparable quality in real time.
Laser scanning
Measures geometry very precisely, but does not reproduce appearance with the same realism.

Limits to keep in mind

  • It does not produce a closed surface. If a project needs a mesh for physics simulation or 3D printing, it is combined with other techniques.
  • The lighting at capture time is stored in the color, so it should be planned around where the result will be integrated.
  • Files are large and need compression for the web and mobile devices.
  • Editing tools and standards are still evolving.

With motion: 4D Gaussian Splatting

Add time and the technique reconstructs people and scenes in motion from a rig of synchronized cameras. This is known as 4D Gaussian Splatting, and it is the basis of the volumetric video we record in our studio.

What is 4D Gaussian Splatting

Where it can be viewed

In the browser, with web engines such as PlayCanvas, Babylon.js or three.js; in Unity and Unreal Engine, through plugins; and on virtual reality headsets. Each destination has its own format and optimization.

How to integrate it on the web, Unity and Unreal

References

  1. 3D Gaussian Splatting for Real-Time Radiance Field Rendering

    Kerbl, Kopanas, Leimkühler, Drettakis. ACM Transactions on Graphics 42(4), SIGGRAPH 2023.

  2. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Mildenhall, Srinivasan, Tancik, Barron, Ramamoorthi, Ng. ECCV 2020.

  3. Splat File Formats

    PlayCanvas Developer Documentation.

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