Field guide · 04

3D scanning: photogrammetry and splats

Photogrammetry, LiDAR and the newer Gaussian splats all have their place. Choose based on speed, fidelity and how you plan to use the asset.

The options compared

Method Strengths Weaknesses Best for
DSLR photogrammetry Highest-fidelity meshes and textures Slow to process, and you cannot confirm it worked until you are home Hero assets, textures
iPad LiDAR scan Fast, and processes on the device Lower detail and fidelity Quick spatial reference, on-the-day checks
Drone photogrammetry Covers buildings and large items cheaply Weather-dependent, needs a scale reference Environments, large objects
Gaussian splats (drone, phone, SuperSplat) Fast, very photoreal capture of light and viewpoint Not a clean mesh, harder to relight or edit, newer workflow Backgrounds, projections, look development
Point clouds Accurate spatial data Not render-ready on their own Measurement, an alignment base

Tools

Clean-up is a skill

Scans are never drag-and-drop. You still have to clean the mesh and retopologise, which is a real skill that a lot of VFX artists never pick up. Budget the time, or a specialist, for it.

Gaussian splat cameras and drones are a big change and worth looking into. New drones are arriving that can capture full 360-degree HDRI and splats. Weigh them against photogrammetry though: splats look superb but are not yet a tidy, editable mesh.

Something we are still testing: the best combination of photogrammetry, splat capture and clean-up for a given asset.

Coming soon Example project files