Point-E
Text-to-3D point cloud generation system by OpenAI.
About
Point-E by OpenAI generates 3D point clouds from text prompts using a two-stage approach that first creates a synthetic view with a text-to-image diffusion model, then lifts it to a point cloud. It produces results in one to two minutes on a single GPU, far faster than optimization-based text-to-3D methods, and ships official code and model weights. Released under the MIT license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- 3D Model Generation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
Related Tools
Novel view synthesis from a single image using diffusion model conditioning.
Text-to-3D generation using Gaussian Splatting with multi-view guidance.
Fast single-image 3D reconstruction by Stability AI and Tripo in under 1 second.
Fast 3D content generation using Gaussian Splatting with mesh extraction.
Large-scale 3D asset generation framework using structured latent representations.
Open-source 3D reconstruction pipeline based on photogrammetry.