3D-KI
supersplat-viewer
A fast, friendly viewer for 3D Gaussian splat scenes.
★ 580 SterneMIT
Anleitung ansehen →depthsplat ist ein Open-Source-Projekt aus der Kategorie 3D-KI von cvg (cvg/depthsplat auf GitHub). Es hat 1.256 Sterne auf GitHub und 78 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 1. April 2026 auf GitHub aktualisiert.
Feed-forward 3D from images: Gaussian splatting meets depth.
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.
Crisp, detailed 3D output from real data.
Optimized for practical generation times.
Implements peer-reviewed, published methods.
Uses your graphics card for heavy lifting.
Works with common 3D file formats.
Scriptable for pipelines and experiments.
Download the source and move into the project folder.
git clone https://github.com/cvg/depthsplat.git
cd depthsplatCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at cvg/depthsplat with 78 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.
A fast, friendly viewer for 3D Gaussian splat scenes.
Text-to-CAD: generate NURBS models from plain language.
Make humans and AI agents work as one team — open-source and self-hostable.
Real-time LiDAR-inertial-camera Gaussian Splatting SLAM.
Recurrent Gaussian Splatting from an ECCV spotlight paper.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls depthsplat 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 depthsplat bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Roblox Foundation Model for 3D Intelligence
CVPR 2026 Highlight, the CVPR Compute Gold Star] Offical code designed for "FastGS.
A utility for eCCV'24 Oral] MVSplat.
A 3DGS framework with derived algorithms and a web viewer.
📦Portable package for running Hunyuan3D 2.0/2.1 on Windows. | 混元 3D 2.0/2.1 整合包
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.