No scanner, no LiDAR, no drone. Just 64 ordinary photos walked around the structure. Our spatial pipeline recovers where every camera stood and optimizes the scene into a photoreal 3D Gaussian-splat model — a dense field of oriented, colored splats rendered live in your browser. The same reconstruction core behind ASI Labs digital twins.
Model · — gaussians Input · — photos Runs · in-browser WebGL2Every splat is an oriented 3D Gaussian — position, color, opacity and a covariance — solved so the set reproduces the input photographs. Sorted back-to-front and alpha-blended live; positions and covariance are quantized to keep the page light.
This public building example demonstrates the reconstruction workflow. Photographs go in; a photoreal model you can orbit, zoom, and pan around comes out.
64 overlapping photos around the building, using perspective imagery rather than a depth scanner.
Feature matching + structure-from-motion estimate the 3D pose of every shot.
A dense field of 3D Gaussians is fit to the images until they re-render the scene photorealistically.
A view-consistent model for interactive orbit, zoom, and pan.
A sample of the source frames. Nothing here is a render: each is a real photograph the pipeline matched against its neighbors to place in 3D space.