SCANable Request a Quote

10

CAPTURE / 10 — NEURAL RENDERING

Capture for Neural Rendering

Neural reconstruction is only as good as the data underneath it. We shoot the synchronized, calibrated, scale-locked coverage that trains cleanly into a radiance field — so your pipeline starts from a dataset, not a salvage job.

[ 3DGS / NeRF-FAMILY / NEURAL PIPELINES ]

Synchronized multi-camera capture array surrounding a subject position

SRC / SYNCHRONIZED ARRAY / EVERY ANGLE, ONE INSTANT

WHAT IT IS

The dataset is the deliverable.

Radiance-field methods — 3D Gaussian Splatting today, NeRF-family reconstruction before it, whatever lands next — all learn a scene from photographs. They inherit every flaw in the capture: inconsistent exposure becomes baked-in color shift, unlocked scale becomes a scene nobody can match to set data, sparse angles become floaters and holes where the model had to guess.

So we treat the capture as the engineering problem it is. Dense overlapping coverage, synchronized exposure, calibrated color, and known scale — captured once, on set, in a form that survives whichever reconstruction method your vendor runs it through.

COVERAGE IS THE DATASET — SUBJECT, SET, TERRAIN, DETAIL

Capture-review software showing a synchronized multi-camera dataset of a subject from many angles
A capture session in progress inside a SCANable studio
Interior of the camera rig, showing the density of the array
Macro capture of an eye, the finest scale the dataset resolves
LiDAR scan of a set used to lock scale and registration
Photoreal reconstruction of a high-desert canyon from aerial capture

HOW SCANABLE DOES IT

Synchronized capture, calibrated end to end.

For people, our 150+ camera static system fires every camera in a single burst — every angle recorded at the same instant, which is exactly the condition neural reconstruction wants and handheld capture can never guarantee. For environments, our crews shoot dense photogrammetric coverage of sets, locations, and objects, with aerial capture extending the same discipline to full landscapes and stadium-scale exteriors.

All of it runs through our color-calibrated RAW pipeline and comes out scale-locked and registered against the LiDAR and set data from the same shoot — so a trained scene lines up with the geometry your production is already working in, instead of floating in its own arbitrary space.

[ SYNCHRONIZED / CALIBRATED / SCALE-LOCKED / REGISTERED TO SET DATA ]

WHY IT MATTERS

Capture once, reconstruct for years.

Reconstruction methods are moving faster than production schedules. A dataset shot to this standard doesn’t expire when the technique changes — the same coverage that trains a Gaussian splat today can be retrained by whatever supersedes it, without sending a crew back to a location that has since been struck.

That is the practical argument for capturing properly the first time: the set goes away, the location changes, the cast disperses. The data doesn’t have to.

WHAT YOU RECEIVE

Data your pipeline can train on.

  • Calibrated image setsSynchronized, color-calibrated RAW coverage with camera solves.
  • Trained radiance fieldsGaussian splat scenes tuned to your fidelity and file budget.
  • Scale & registrationTrue-scale scenes aligned to the LiDAR and set data from the same shoot.
  • Archive-grade sourceThe capture stays on file for retraining as methods evolve.

RELATED SERVICES

START HERE

Shoot it once. Reconstruct it forever.

Tell us the subject and the pipeline it feeds. We’ll scope capture that trains cleanly now and still holds up when the method changes.

Request a Quote