Point-e

Point-e is a software project that provides models and code for generating 3D point clouds from prompts and examples. It is the official code and model release for Point-E: A System for Generating 3D Point Clouds from Complex Prompts. The repository includes usage instructions, notebooks, and sample data intended for researchers and developers in 3D model synthesis.

It is meant for people who want to experiment with 3D generation from textual prompts or reference images, and to run notebooks that demonstrate how to sample, refine, and convert point clouds into meshes.

The repository emphasizes practical tools and examples rather than abstract theory. It provides notebooks for sampling point clouds from images and text, and instructions for producing meshes from point clouds using an SDF regression model. It also points to evaluation scripts and rendering utilities for end-to-end workflows.

Overall, Point-e serves as a reference implementation with ready-to-run components for researchers and developers exploring 3D generation and diffusion-based methods. The text anchors its purpose around generating 3D point clouds from prompts and providing the associated tooling and data.

Use cases

• Generate 3D point clouds from prompts