AI 3D
Matrix-3D
Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.
★ 838 starsMIT
View guide →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
Shap-E is an open-source ai 3d project by openai (openai/shap-e on GitHub). It has 12,261 GitHub stars and 1,079 forks, is released under the MIT license, and was last updated on GitHub on 22 June 2024.
Clone the repo and install it in editable mode, per the Usage section: pip install -e .
Open sample_text_to_3d.ipynb for text-conditioned generation or sample_image_to_3d.ipynb for image-conditioned generation, and run the notebook.
Render the generated implicit function as a NeRF or extract a textured mesh for use in your 3D tool of choice.
One model family generates 3D objects conditioned on either a prompt or a picture.
Objects are generated as implicit functions, renderable as NeRFs or convertible to textured meshes — not locked to one format.
The encode_model notebook demonstrates encoding existing 3D models and multiview renders into Shap-E latents.
Official OpenAI code and weights for the paper, MIT licensed, with samples documented in samples.md.
The README usage route.
git clone https://github.com/openai/shap-e.git
cd shap-e
pip install -e .The example notebook for prompt-conditioned generation.
shap_e/examples/sample_text_to_3d.ipynbThe example notebook for image-conditioned generation.
shap_e/examples/sample_image_to_3d.ipynbOpenAI — this is the official code and model release for the Shap-E paper (openai/shap-e on GitHub).
Yes — MIT licensed, code and model release included.
Treat them as strong first drafts: generated objects usually need cleanup, retopology or UV work in a 3D editor before production use, like most text-to-3D output.
Against Hunyuan3D or Tripo-style newer systems, Shap-E is older and lower-fidelity but simpler, fully open (MIT) and unusually clean to study and hack. Against Point-E, its predecessor from the same lab, Shap-E produces implicit functions that render as NeRFs or meshes instead of bare point clouds.
Clone the repo, pip install -e ., then run sample_text_to_3d.ipynb with your own prompt.
Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.
Text-to-3D that outputs editable parametric programs, not just meshes.
ICCV 2023 research: ground text descriptions to multiple 3D objects.
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
Text-to-CAD: generate NURBS models from plain language.
The most-starred other AI 3D projects in the LibreAI catalogue — the realistic shortlist if Shap-E is not the right fit.
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.
Free and open — grab the source, star the repo, and start creating.