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openai / point-e Public

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Point cloud diffusion for 3D model synthesis

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Point*E Usage Samples

README.md

 Point*E

Animation of four 3D point clouds rotating

This is the official code and model release for Point-E: A System for
Generating 3D Point Clouds from Complex Prompts.

 Usage

Install with pip install -e ..

To get started with examples, see the following notebooks:

  * image2pointcloud.ipynb - sample a point cloud, conditioned on
    some example synthetic view images.
  * text2pointcloud.ipynb - use our small, worse quality pure
    text-to-3D model to produce 3D point clouds directly from text
    descriptions. This model's capabilities are limited, but it does
    understand some simple categories and colors.
  * pointcloud2mesh.ipynb - try our SDF regression model for
    producing meshes from point clouds.

For our P-FID and P-IS evaluation scripts, see:

  * evaluate_pfid.py
  * evaluate_pis.py

For our Blender rendering code, see blender_script.py

 Samples

You can download the seed images and point clouds corresponding to
the paper banner images here.

You can download the seed images used for COCO CLIP R-Precision
evaluations here.

About

Point cloud diffusion for 3D model synthesis

Resources

Readme

License

MIT license

Stars

613 stars

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81 watching

Forks

34 forks

Releases

No releases published

Packages 0

No packages published

Contributors 2

  * @unixpickle unixpickle Alex Nichol
  * @heewooj heewooj Heewoo Jun

Languages

  * Python 95.1%
  * Jupyter Notebook 4.9%

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