3D-KI
supersplat-viewer
A fast, friendly viewer for 3D Gaussian splat scenes.
★ 580 SterneMIT
Anleitung ansehen →NURBGen ist ein Open-Source-Projekt aus der Kategorie 3D-KI von SadilKhan (SadilKhan/NURBGen auf GitHub). Es hat 34 Sterne auf GitHub und 5 Forks, wird unter der Lizenz Custom veröffentlicht und wurde zuletzt am 21. April 2026 auf GitHub aktualisiert.
Text-to-CAD: generate NURBS models from plain language.
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.
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.
Implements peer-reviewed, published methods.
Download the source and move into the project folder.
git clone https://github.com/SadilKhan/NURBGen.git
cd NURBGenCreate 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 SadilKhan/NURBGen with 5 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
The project uses a custom license — read the LICENSE file in the repo before commercial use.
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.
Feed-forward 3D from images: Gaussian splatting meets depth.
Give AI agents a seat in your meetings.
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.
Shap-E — OpenAI's text-to-3D and image-to-3D model: generate 3D objects as implicit functions and render them as NeRFs or textured meshes, MIT
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls NURBGen 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 NURBGen bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
AI-driven photogrammetry: control Metashape over MCP.
Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D
Declarative JSON runtime for Three.js — AI agents can author 3D worlds as data.
Pascal Editor: an open-source 3D architectural editor with MCP tools for humans and AI agents
IEEE research: edit animated 3D human textures with plain instructions.
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.