#2525th of 75 in Image and videoFor image, video and design, 3d

lichtfeld-studio

Native desktop app for training and editing 3D Gaussian Splatting scenes

Stars
4k
License
GPL-3.0
Last commit
Nov 2026
Last release
Nov 2026
Language
C++
Stars, last 29 weeks+1,124
22 Apr 2026: 2,868 stars29 Apr 2026: 2,915 stars6 May 2026: 2,940 stars13 May 2026: 2,992 stars20 May 2026: 3,055 stars27 May 2026: 3,098 stars3 Jun 2026: 3,131 stars10 Jun 2026: 3,168 stars17 Jun 2026: 3,219 stars24 Jun 2026: 3,255 stars1 Jul 2026: 3,309 stars8 Jul 2026: 3,333 stars15 Jul 2026: 3,366 stars22 Jul 2026: 3,397 stars29 Jul 2026: 3,434 stars5 Aug 2026: 3,458 stars12 Aug 2026: 3,494 stars19 Aug 2026: 3,527 stars26 Aug 2026: 3,580 stars2 Sept 2026: 3,628 stars9 Sept 2026: 3,657 stars16 Sept 2026: 3,685 stars23 Sept 2026: 3,749 stars30 Sept 2026: 3,783 stars7 Oct 2026: 3,817 stars14 Oct 2026: 3,859 stars21 Oct 2026: 3,889 stars28 Oct 2026: 3,926 stars4 Nov 2026: 3,965 stars11 Nov 2026: 3,992 stars

2,868 on 22 Apr 20263,992 on 11 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

LichtFeld Studio is a C++23/CUDA application that trains 3D Gaussian Splatting scenes from COLMAP datasets, resumes checkpoints, and shows the reconstruction in a real-time viewer. It supports editing gaussian selections with undo/redo and exports to PLY, SOG, SPZ or a standalone HTML viewer. Python plugins, embedded Python and MCP resources and tools allow automation, and it can also run headless.

Who it is for: Researchers and 3D teams working with Gaussian Splatting on NVIDIA GPUs

Strengths

  • Training, live viewer, gaussian editing and export in one application
  • Exports PLY, SOG, SPZ and a standalone HTML viewer
  • Python plugin system plus MCP tools for scripting and agent control
  • Includes MCMC, bilateral grid, 3DGUT and optional POPSpa sparsification

Weaknesses

  • Requires an NVIDIA GPU with compute capability 7.5+; AMD, Intel and older NVIDIA unsupported
  • Prebuilt Windows binaries need a paid donation via the Portal, not GitHub Releases
  • Needs NVIDIA driver 570+ and CUDA 12.8+; source builds need a C++23 toolchain
  • No Docker or compose setup provided

What it needs

  • GPU required
  • Docker + Compose
  • Needs NVIDIA driver 570+, CUDA 12.8+, COLMAP dataset input
  • Models: 3D Gaussian Splatting, PLY, SOG, SPZ

What changed

  1. v0.5.4.2 ↗ (opens in a new tab)Security fix

    “The private keys of eight eMudhra intermediate certificate authorities can be recovered from their certificates (disclosed on 2026-10-20). Anyone can therefore forge certificates that chain to these …”

From the release notes. No flag means the note does not say so, not that the upgrade is safe.

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