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Gaussian Splatting Explained

Explanation of how Gaussian Splatting works

Gaussian Splatting for XR Training and Simulations

Creating realistic 3D environments has traditionally been slow and expensive. Gaussian splatting is changing that. By capturing a space with a photo camera or video camera, specialized software can convert the footage into shapes known as Gaussian splats, which can then be used to visualize 3D environments .

This emerging technology enables highly realistic digital environments to be captured directly from the real world—dramatically reducing production time and cost compared to traditional 3D modeling. For XR training and simulation, this means real locations can be brought into immersive experiences faster than ever before.

Why It Matters

  • Photorealistic environments captured from real-world spaces
  • Lower production costs compared to full 3D modeling
  • Faster deployment for training and onboarding
  • Ideal for large-scale environments such as facilities, plants, and operational sites

Research and developments such as Meta’s large-scale spatial capture work show how Gaussian splatting can scale immersive environments without sacrificing realism.

Designed for Smart Interaction

Gaussian splatting works best when combined with traditional 3D workflows. Large environments can be captured using splatting, while interactive equipment and tools are layered using precise 3D models—delivering both realism and functionality.

Built with Consideration

While Gaussian splatting unlocks powerful new possibilities, it must be applied thoughtfully. The best results come from using it to capture context and scale, while relying on traditional 3D models where precision interaction is required.

Over the years, ImproVive has modeled virtual twins of spaces, and now we see the potential in making it simpler. Here is an example of a virtual operating room, built by tradtional 3d modeling:

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OK-Ready

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Written by:
Nikita Kayal
Published on:
29 December 2025

Categories: Blog, Virtual Reality, VR

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