ИИ 3D
supersplat-viewer
A fast, friendly viewer for 3D Gaussian splat scenes.
★ 580 звёздMIT
Смотреть руководство →NURBGen — проект с открытым исходным кодом из категории «ИИ 3D» от SadilKhan (SadilKhan/NURBGen на GitHub). У него 34 звезды на GitHub и 5 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 21 апреля 2026.
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
Другие проекты из категории «ИИ 3D» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если NURBGen вам не подходит.
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.
Соседние проекты из категории «ИИ 3D» в каталоге, ближайшие по числу звёзд к NURBGen — продолжайте изучать полку по обе стороны от него.
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
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.