Xgrids Gaussian Splat Export

Export a Gaussian Splat from Xgrids Lixel CyberColor for use with Multiset VPS.

All Xgrids scanners (PortalCam, L2 Pro, K1/K2) can produce a Gaussian Splat reconstruction via Lixel CyberColor. This page walks through the export steps and how to package the output for upload to Multiset.

For the e57 point-cloud workflow, see Xgrids Scans instead. The steps below are specific to the Gaussian Splat upload path.

You will need

• An Xgrids scan (PortalCam, L2 Pro, K1/K2).

• Lixel CyberColor (v1.12.1 or newer) — available from Xgrids support downloads.

Step 1: Generate the Gaussian Splat model

1. Open Lixel CyberColor and click Create to start a new model.

2. Choose Single Model as the reconstruction type.

3. Give the project a name (e.g. splats_for_vps) and set the Scan data path to your captured portalcam_capture_data folder.

4. In the Parameters panel on the right:

   • Reconstruction Settings: choose Slow for the best quality suitable for VPS.

   • Maximum Gaussian Splats: leave at the recommended value (e.g. 28M) or raise it for larger scenes.

   • Portability: On. This is important, it produces a metric-scaled, portable output that Multiset VPS can use.

   • Leave Exposure Optimization and Low Memory Reconstruction at defaults unless you have a specific reason to change them.

5. Click Start and let the reconstruction run.

Lixel CyberColor — Generate Model with Portability On and Slow reconstruction.

Portability must be On. Without it the Gaussian Splat will not be in metric scale and cannot be used for VPS.

Step 2: Locate the exported .ply

Once the reconstruction finishes, Lixel CyberColor writes the point cloud (.ply) outputs under the project's output directory:

<output>\ply-result\point_cloud\iteration_100\

Inside iteration_100 you will find files like:

• point_cloud.ply ← this is the file you upload

• point_cloud_1.ply, point_cloud_2.ply, point_cloud_3.ply (lower levels of detail)

• environment.ply

Use the top-level point_cloud.ply — it's the full-resolution Gaussian Splat.

point_cloud.ply inside output\ply-result\point_cloud\iteration_100.

Step 3: Locate poses.json

The camera poses used to train the splat are written by Lixel CyberColor at:

<DATA>\<project-id>\output\render\assets\poses.json

poses.json inside output\render\assets.

This file contains an array of per-frame poses (ts, translation T, rotation quaternion R) that Multiset uses to register the splat against query images.

Step 4: Zip .ply and poses.json together

Multiset expects a single zip containing both files at the root:

my-xgrids-splat.zip
├── point_cloud.ply
└── poses.json

Select both files, right-click → Compress (macOS) or Send to → Compressed (zipped) folder (Windows).

Do not place the files inside a subfolder inside the zip. Multiset reads them from the root of the archive.

Step 5: Upload to Multiset

On the Multiset developer portal:

1. Open Upload Existing Map.

2. Select Provider → XGRIDS.

3. File Format → Gaussian Splat (ply and poses.json compressed in same zip).

4. Click Next and answer the configuration prompts:

   • Is the Gaussian Splat metric scaled? → Yes (because Portability was On in Step 1).

   • Indoor or outdoor? → pick the one that matches your capture.

   • Does the Gaussian Splat have poses.json? → Yes.

5. Upload the zip from Step 4.

Upload Existing Map — XGRIDS + Gaussian Splat file format.

Gaussian Splat configuration — metric-scaled / indoor-outdoor / poses.json.

Once processing completes the map behaves like any other Multiset map — you can query it via the REST API, Unity SDK, or native SDKs.