sparklesGaussian Splat

Use Gaussian Splat reconstructions as input for Multiset VPS.

Multiset now supports Gaussian Splats as input for building a VPS map. Instead of uploading a point cloud (e57), you can upload a trained Gaussian Splat reconstruction together with the camera poses used to train it, and Multiset will use that as the source of truth for localization.

What you need to upload

A single .zip containing two files:

  1. <name>.ply — the Gaussian Splat file exported from your reconstruction tool.

  2. poses.json — the camera poses (position + rotation) associated with the training frames, in the format shown below.

Both files must be at the root of the zip (no nested folders).

poses.json format

{
  "poses": [
    {
      "ts": "1776075484.516121864",
      "T": [0.000021, 0.000021, 0.000008],
      "R": [0.707448, -0.706765, 0.001143, 0.000027],
      "RGB": null
    }
  ]
}

Fields:

  • ts — timestamp (string).

  • T — translation [x, y, z].

  • R — rotation quaternion [x, y, z, w].

  • RGB — optional, can be null.

Requirements

  • Metric scale is required. The Gaussian Splat must be in real-world metric scale for VPS to work.

  • Indoor or outdoor — you'll specify this at upload time; selecting the correct mode improves VPS accuracy.

  • poses.json is required — the splat cannot be localized against without the training poses.

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Supported pipelines

Currently supported Gaussian Splat export sources:

More providers will be added as they ship metric-scaled Gaussian Splat exports.

Upload flow

On the Multiset developer portal, choose Upload Existing Map, select your scanner provider (e.g. XGRIDS), then pick Gaussian Splat (ply and poses.json compressed in same zip) as the file format. You will be asked to confirm:

  • Whether the Gaussian Splat is metric-scaled (must be Yes for VPS).

  • Whether the capture is indoor or outdoor.

  • Whether the zip includes poses.json (required).

Upload Existing Map — select XGRIDS and Gaussian Splat file format.
Gaussian Splat configuration — confirm scale, indoor/outdoor, and poses.json.

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