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How to access Gaussian Splats in Birdi

Written by Kayley Greenland

Gaussian Splats bring a new way to visualise and explore highly detailed 3D environments within Birdi.

Using advanced rendering techniques, Gaussian Splats can create photorealistic 3D scenes from captured imagery, allowing teams to navigate environments with greater visual realism and context than traditional point clouds alone.


What are Gaussian Splats?

Gaussian Splats are a modern 3D visualisation method that reconstructs environments using millions of rendered points, or “splats”, to create realistic spatial scenes.

Compared to traditional 3D workflows, Gaussian Splats can provide:

  • Smoother scene rendering

  • More realistic textures and lighting

  • Improved visual depth

  • Faster interactive viewing experiences

They are particularly effective for:

  • Complex environments

  • Dense infrastructure

  • Indoor spaces

  • Detailed visual inspections


Common use cases

Gaussian Splats can help organisations visualise and communicate complex environments more naturally.

Infrastructure & Asset Inspections

View:

  • Buildings

  • Industrial facilities

  • Utilities infrastructure

  • Construction environments

with greater visual realism and spatial context.

Site Walkthroughs & Remote Collaboration

Allow teams to virtually navigate environments without needing to revisit site locations physically.

Useful for:

  • Remote stakeholders

  • Client presentations

  • Project reviews

  • Operational planning

Construction Progress & Reality Capture

Capture evolving project environments in a more immersive format.

This can help teams:

  • Compare site progress

  • Review spatial conditions

  • Visualise temporary works and layouts

  • Improve communication across teams

Real Estate & Property Visualisation

Gaussian Splats can provide highly immersive visual experiences for:

  • Property walkthroughs

  • Marketing presentations

  • Development planning

  • Spatial reviews


Gaussian Splats vs Point Clouds

While point clouds remain valuable for measurement and analysis workflows, Gaussian Splats focus more heavily on visual realism and scene immersion.

Point Clouds

Gaussian Splats

Analytical workflows

Visual-first workflows

Traditional LiDAR & survey outputs

Photorealistic scene rendering

Measurement-focused

Immersive visualisation

Structured geometry

Smooth visual reconstruction

Many workflows may benefit from using both together depending on the project requirements.


Important notes

  • Gaussian Splats are currently considered experimental/prototype

  • Performance may vary depending on:

    • Dataset size

    • Browser capability

    • Internet connection

    • Device hardware

  • Some workflows may still require traditional point cloud or mesh outputs

  • Feature availability may depend on your Birdi plan or workspace configuration


Interested in learning more?

If you would like to explore Gaussian Splats for your organisation, contact the Birdi team to discuss your workflow requirements and potential implementation options.

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