ML for 3D Course documentation

Introduction

Hugging Face's logo
Join the Hugging Face community

and get access to the augmented documentation experience

to get started

Introduction

Open In Colab

Welcome to the final capstone project of the course.

To complete the course and receive a certificate, you will create and host your own Generative 3D model and demo.

Requirements

  • Model: A model hosted under your username, e.g. hf.co/{username}/{model_name}.
    • Ensure there is a model card.
    • Tag the model with the image-to-3d pipeline tag.
    • Apply the correct license if applicable.
  • Space: A space hosted under your username, e.g. hf.co/spaces/{username}/{space_name}.
    • Ensure the space converts images (.png, .jpg) to 3D (.glb, .obj, .ply, .splat).
    • Reference your model URL in the space README.

When completed, fill out this form to receive your certificate.

What’s expected

This capstone project is very open-ended. You can:

  • Build something from scratch.
  • Train or fine-tune an existing open-source model.
  • Clone and existing open-source model and change the demo experience.
  • Directly clone an open-source model and demo.

Check out 3D Arena for the latest image-to-3D demos to use as starting points.

Here is an example model and space.

Step-by-step

If you aren’t sure how to get started, the following sections will guide you through the process.

Otherwise, you can start right away. When you’re finished, fill out the form to receive your certificate.

Join the community

Want to ask questions? Share your work? Chat with the community?

Join the Discord!

< > Update on GitHub