What is a metric-scaled Gaussian Splat?

A metric-scaled Gaussian Splat is a 3D reconstruction where 1 unit = 1 real-world meter. This is required for VPS accuracy. In Lixel CyberColor, enable Portability before reconstruction to ensure metric scale output.

Why does Portability need to be ON in Lixel CyberColor?

Portability mode produces a metric-scaled reconstruction. Without it, the Gaussian Splat uses an arbitrary coordinate system that does not map to real-world distances. MultiSet requires metric scale for accurate localization.

What file format does MultiSet accept for Gaussian Splats?

A single .zip containing two files: a metric-scaled .ply (Gaussian Splat) and a poses.json with camera trajectories. The poses.json includes ts (timestamp), T (translation), R (rotation), and optionally RGB fields per camera pose.

Can I combine Gaussian Splat maps with E57 maps?

Yes. MapSet lets you stitch maps from different input formats into a single deployment. You can mix Gaussian Splat maps and E57 maps across floors and buildings. Users localize seamlessly across all stitched maps.

Does 3DGS ingest work for outdoor environments?

Yes. During upload, select 'Outdoor' as the environment type. MultiSet's VPS is robust to dynamic lighting, weather changes, and moving objects in outdoor scenes.

Will more capture pipelines be supported beyond Xgrids?

Yes. Gaussian Splatting tooling is evolving rapidly. As more capture tools ship metric-scale output, MultiSet will validate and add support. Contact us if you have a specific pipeline you need supported.

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Gaussian Splats to VPS: Photorealistic Scans Meet Centimeter-Accurate Localization & Tracking

3D Gaussian Splatting is becoming the JPEG of 3D.

Upload a metric-scaled .ply file with camera poses and get a production-ready spatial map. 5 cm median localization accuracy.

Deploy on your cloud, your VPC, or fully on-device.

No vendor lock-in. No compromises on visual fidelity.

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Capture It. Splat It. Localize It.

MultiSet accepts metric-scaled 3D Gaussian Splats as a native VPS input.

Upload a .ply splat file alongside a poses.json with camera trajectories. The platform generates an XR-ready map while preserving the photorealistic fidelity that makes Gaussian Splatting revolutionary.

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Any Compatible Pipeline

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More Native Pipelines Coming Soon

Supported devices: L2 Pro, K1 (or any device capturing via Lixel CyberColor)

Processing software: Lixel CyberColor

MultiSet is hardware-agnostic. If your pipeline produces the right output, it works.

Output: A single .zip containing your .ply (Gaussian Splat) and poses.json (with ts, T, R, and optionally RGB fields per pose).

Requirement: The .ply must be strictly metric-scaled (1 unit = 1 meter).

Ecosystem focus: Emerging 3DGS tools and photogrammetry pipelines that ship with metric-scale output by default.

From Gaussian Splat to AR in Three Steps

Reconstruct

Capture your environment with a supported device. Reconstruct it as a 3D Gaussian Splat. Enable Portability (metric scale) and locate your .ply and poses.json in the output directory.

Upload

Bundle the .ply splat file and poses.json into a single .zip. Upload on MultiSet portal by selecting "Gaussian Splat" as the input type. Choose indoor or outdoor. Drag and drop your zip. Processing begins immediately.

Localize & Build

Your VPS map is live. Query it via REST API, Unity SDK, native iOS/Android, WebXR, or Meta Quest. Pin XR content with 5 cm median accuracy. Scale across floors with MapSet.

Why Gaussian Splats Belong in Your XR Stack

Enterprise-Grade 3DGS Ingest

MultiSet accepts 3D Gaussian Splats as a native VPS input and pairs it with the deployment flexibility enterprises need. Public cloud. Private VPC. Self-hosted on-prem. Fully on-device. Your data, your infrastructure.

Photorealistic Fidelity, Production-Grade Accuracy

Gaussian Splatting captures scene appearance with unmatched visual quality. MultiSet converts that fidelity into 5 cm median localization accuracy with < 1500 ms pose time. Beautiful scans. Precise AR.

Future-Proof Format

3DGS is on track to become the universal 3D capture standard. The Khronos KHR_gaussian_splatting glTF extension is targeting ratification in Q2 2026. The open-source SPZ compression format is already adopted across the ecosystem. Build on the format the industry is converging on.

Metric Scale = Real-World Accuracy

MultiSet requires metric-scaled reconstructions. Every AR anchor, navigation path, and spatial query maps precisely to the real world. Portability mode in Lixel CyberColor guarantees this.

Cross-Platform SDKs

Build once with Unity, iOS, Android, WebXR, Meta Quest, or ROS 2. Launch browser-based AR from a QR code with zero app installs via WebXR Kit and App Clips. Your splat-derived maps work everywhere.

Campus-Scale with MapSet

Stitch Gaussian Splat maps from multiple floors and buildings into seamless MapSets. Users localize continuously as they move between spaces. No manual transitions. No drift. Mix splat maps with E57 maps in the same deployment.

3D Gaussian Splatting vs. Traditional AR Mapping

A universal, efficient representation that captures real-world scenes with photorealistic quality. Here's how 3DGS-based VPS compares.

Pilot Project

CAPABILITY

Traditional Approach

MultiSet 3DGS Ingest

Visual quality

Feature points or sparse mesh

Photorealistic Gaussian Splats

Capture hardware

Phone/tablet only or LiDAR scanner

Any device with camera

Scene representation

Point clouds or triangulated mesh

Millions of 3D Gaussians with color, opacity, scale

Rendering speed

Varies; often requires baked assets

Real-time splatting at 60+ FPS

Metric accuracy

Depends on capture method

Guaranteed via Portability mode (metric scale)

Industry trajectory

Established but plateauing

Rapidly standardizing (Khronos glTF extension)

Frequently asked questions

Gaussian Splats to VPS: Photorealistic Scans Meet Centimeter-Accurate Localization & Tracking

Capture It. Splat It. Localize It.

From Gaussian Splat to AR in Three Steps

Why Gaussian Splats Belong in Your XR Stack

3D Gaussian Splatting vs. Traditional AR Mapping

Request a Demo

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