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.

