3D-KI
depthsplat
Feed-forward 3D from images: Gaussian splatting meets depth.
★ 1,3 Tsd. SterneMIT
Anleitung ansehen →supersplat-viewer ist ein Open-Source-Projekt aus der Kategorie 3D-KI von playcanvas (playcanvas/supersplat-viewer auf GitHub). Es hat 580 Sterne auf GitHub und 159 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
A fast, friendly viewer for 3D Gaussian splat scenes.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Works with common 3D file formats.
Scriptable for pipelines and experiments.
Reference implementation of published work.
Inspect, cite, and build on the research.
Crisp, detailed 3D output from real data.
Optimized for practical generation times.
Download the source and move into the project folder.
git clone https://github.com/playcanvas/supersplat-viewer.git
cd supersplat-viewerPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at playcanvas/supersplat-viewer with 159 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
For generation, yes — a CUDA-capable GPU is strongly recommended; viewing works on most machines.
Photos, multi-view images, or text prompts depending on the method.
Some entries are official paper implementations — expect research-grade docs, not polished apps.
Feed-forward 3D from images: Gaussian splatting meets depth.
Text-to-CAD: generate NURBS models from plain language.
One console for every coding agent — each task on its own branch.
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
Cross-vendor 3D Gaussian Splatting trainer: video to splat to mesh.
3D Model Viewer with support for glTF and 3D Gaussian Splats.
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls supersplat-viewer nicht das Richtige ist.
Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D
Pascal Editor: an open-source 3D architectural editor with MCP tools for humans and AI agents
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Turn a reference image into a procedural, animation-ready Three.js model - as code
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Verwandte Projekte der Kategorie 3D-KI im Katalog, die supersplat-viewer bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Python command-line utility designed for converting and processing 3D Gaussian.
Bilingual AI interview cheat sheets plus a fact-checked academic homepage builder.
A growing curation of Text-to-3D, Diffusion-to-3D works.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
Gaussian splatting operators that bring 3DGS into SideFX Houdini.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.