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Comparison · Gaussian splatting tools

Neurones 3D vs LichtFeld Studio

Looking for a LichtFeld Studio alternative? Neurones 3D is free, offline point cloud and Gaussian splatting software for Windows: the free viewer runs every process, from AI classification to dimensioned floor plans, and a one-time paid edition saves the results.

LichtFeld Studio is an open-source native desktop application for training, inspecting, editing and exporting 3D Gaussian splatting scenes, extensible with Python plug-ins and automatable through MCP.

By Dr. Florent Poux, maker of Neurones 3D · LichtFeld Studio's facts from LichtFeld Studio project (open source)'s own documentation, checked

The short answer

Choose Neurones 3D when a trained splat has to become survey data: a point cloud, measurements, sections, classification and a floor plan in DXF, beside laser scans, on a licence bought once. Choose LichtFeld Studio when you need to train splats yourself on an NVIDIA GPU, inspect training as it happens and script the pipeline in Python, all under an open-source licence. The two combine naturally: train and edit in LichtFeld Studio, export PLY or SPZ, and take the capture into Neurones 3D for the deliverables.

At a glance

Neurones 3DLichtFeld Studio
Runs onWindows 10 and 11 (64-bit)Windows (prebuilt); Windows and Linux from source; NVIDIA GPU with CUDA 12.8 or newer
Where it runsdesktopdesktop
Licencefree viewer + one-time paid editionsopen source (GPLv3); prebuilt Windows binaries through a donation-funded portal
PriceFree viewer; paid editions bought once, no subscriptionFree to build from source under GPLv3; prebuilt Windows binaries for a donation of your choosing source
Free useThe free viewer opens, views and runs every process; writing results out needs a paid editionBuilding from source is free for everyone under GPLv3

Feature by feature

"Not stated" means we could not find it in LichtFeld Studio project (open source)'s documentation, not that it is missing. Each of LichtFeld Studio's cells links to where we read it.

CapabilityNeurones 3DLichtFeld Studio
Runs fully offlineYesNo account, no internet connection, no telemetryYesNative desktop application; trains on a local NVIDIA GPU source
One-time licence availableYesBought once; no subscriptionYesFree under GPLv3; prebuilt binaries for a donation of your choosing source
Opens LAS/LAZ and E57YesLAS, LAZ, COPC, E57, PLY, PCD and more; a 127.8 M point E57 opens in about 22 sNot stated
Scan registrationPartlyCloud-to-cloud alignment (ICP and graph matching, no initial placement needed), RMS shown with the inlier shareNot stated
AI point cloud classificationYesFour trained models ship in every build: indoor, aerial LiDAR, powerline, streetscape; a confidence per pointNot stated
SegmentationYesUnsupervised segmentation, primitive decomposition, components, roomsNot stated
Automatic floor plansYesAutomatic, dimensioned, with sections and elevationsNot stated
DXF / CAD drawingsYesDXF R2000, SVG and PDF; no DWGNot stated
DTM / DSMYesDTM, DSM, CHM, slope, aspect, hillshade on one gridNot stated
Contour linesYesContours that cannot crossNot stated
Change detectionYesM3C2 with a 95 % level of detection; cloud-to-cloud and cloud-to-BIM deviationNot stated
MeshingYesPoisson and clean meshing; the clean mesh is closed, not edge-manifoldNot stated
Gaussian splatsYesOpens PLY and SPZ splats, converts them to points, meshes them; does not train splatsYesTrains from COLMAP datasets; exports PLY, SOG, SPZ and a standalone HTML viewer source
ReportsYesSelf-contained HTML reports with provenanceNot stated
Scripting / SDKYesEngine & SDK edition: Python package and headless command lineYesPython plug-ins, embedded Python and MCP automation source

Where Neurones 3D is stronger

  • Converts a splat to a point cloud and draws a dimensioned floor plan saved as DXF R2000, SVG and PDF.
  • Measures distances, areas and volumes and cuts 2D sections through the converted cloud.
  • Classifies the converted cloud with trained models (indoor, aerial LiDAR, powerline, streetscape), with a confidence per point.
  • Opens LAS, LAZ and E57 laser scans beside splats, and meshes splats to a three-level glTF LOD chain.

Where LichtFeld Studio is stronger

  • LichtFeld Studio trains Gaussian splats and resumes from checkpoints; Neurones 3D does not train splats.
  • It is free and open source under GPLv3, with Python plug-ins and MCP automation.
  • It shows training live and edits Gaussian selections with history.

Who should choose which

Choose Neurones 3D to take a point cloud or a splat capture to a finished deliverable on your own machine: classified LAS, a dimensioned floor plan with sections and elevations in DXF, a DTM with contours, a change map or a report, without an account, an upload or a subscription. Every figure it publishes is measured; see the benchmarks.

Choose LichtFeld Studio: Researchers and technical artists who want to train and edit splats locally on an NVIDIA GPU, with full control over training and scripting.

Questions

Is LichtFeld Studio free?

LichtFeld Studio: Free to build from source under GPLv3; prebuilt Windows binaries for a donation of your choosing. Free use: Building from source is free for everyone under GPLv3. Neurones 3D’s free viewer opens, views and runs every process; writing results out needs a paid edition bought once.

Does LichtFeld Studio work offline?

LichtFeld Studio: yes. Native desktop application; trains on a local NVIDIA GPU. Neurones 3D: yes. No account, no internet connection, no telemetry.

Does LichtFeld Studio support Gaussian splats?

LichtFeld Studio: yes. Trains from COLMAP datasets; exports PLY, SOG, SPZ and a standalone HTML viewer. Neurones 3D: yes. Opens PLY and SPZ splats, converts them to points, meshes them; does not train splats.

What is the best alternative to LichtFeld Studio?

Choose Neurones 3D when a trained splat has to become survey data: a point cloud, measurements, sections, classification and a floor plan in DXF, beside laser scans, on a licence bought once. Choose LichtFeld Studio when you need to train splats yourself on an NVIDIA GPU, inspect training as it happens and script the pipeline in Python, all under an open-source licence. The two combine naturally: train and edit in LichtFeld Studio, export PLY or SPZ, and take the capture into Neurones 3D for the deliverables.

How this comparison was made

Written by the maker of Neurones 3D, so read it as such. LichtFeld Studio's column comes only from LichtFeld Studio project (open source)'s published documentation and listings, read on 2026-09-24; where we found nothing, the cell says "not stated". Neurones 3D's column comes from its own guides, which give the limits too. If something here is wrong or out of date, write to howto@learngeodata.eu and it will be corrected.

Sources:

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About

Why Neurones 3D exists.

Standing inside a 43.5 million point indoor laser scan rendered by Neurones 3D

I have spent years working with point clouds, and for most of them the software got in the way. I wanted one tool I would actually reach for every day: fast enough to enjoy, honest about what it does, and calm to use.

Neurones 3D started in Python, the way most of my research does. It worked, but it was heavy, and heavy tools quietly discourage you from opening them. So I rebuilt everything in Rust, from the file readers to the renderer, with one rule: stay frugal. A single small file, no cloud, no telemetry, billions of points on a laptop that is ten years old. In an age where every tool reaches for a data center, I wanted the opposite.

The goal is simple to say and hard to earn. One package that carries you from capture to understanding to deliverable, without exporting to five other programs along the way. Load a scan, a splat, a building, a phone video. See it, classify it, measure it, and send out something real. Together, in one place.

This is the tool I always wanted. I hope it becomes yours too.

Dr. Florent Poux 3D Geodata Academy

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