openai/point-e

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

6895 stars · 792 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Point-E is OpenAI's official release of models and code for generating 3D point clouds from text prompts or images using diffusion models. It also includes an SDF regression model for converting point clouds into meshes, plus evaluation and rendering scripts.

Use cases

• generate 3D point clouds from text descriptions
• create 3D models from images
• convert point clouds to 3D meshes
• evaluate generated point clouds with P-FID and P-IS metrics
• render 3D point clouds in Blender

When to choose

• you need to synthesize 3D point clouds from text or image prompts
• you want to experiment with diffusion-based 3D generation research
• you need a pipeline from point clouds to meshes

When to avoid

• you need production-quality, watertight 3D meshes rather than point clouds
• you want a polished end-user application rather than research code
• you lack a GPU, since sampling is computationally expensive

Facets

library · maturity maintenance

machine-learning deep-learning image-processing graphics artificial-intelligence deep-learning graphics machine-learning python 3d-generation point-clouds diffusion-models text-to-3d generative-models mesh-generation gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/point-e")