GitHub - google/GNM: GNM is a state-of-the-art parametric 3D statistical model of the human face and head, learned from a large dataset of 3D scans. · GitHub

/" data-turbo-transient="true" />

Skip to content

Search or jump to...

Search code, repositories, users, issues, pull requests...

-->

Search

Clear

Search syntax tips

Provide feedback

--><br>We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Cancel

Submit feedback

Saved searches

Use saved searches to filter your results more quickly

-->

Name

Query

To see all available qualifiers, see our documentation.

Cancel

Create saved search

Sign in

/;ref_cta:Sign up;ref_loc:header logged out"}"<br>Sign up

Appearance settings

Resetting focus

You signed in with another tab or window. Reload to refresh your session.<br>You signed out in another tab or window. Reload to refresh your session.<br>You switched accounts on another tab or window. Reload to refresh your session.

Dismiss alert

{{ message }}

Uh oh!

There was an error while loading. Please reload this page.

google

GNM

Public

Notifications<br>You must be signed in to change notification settings

Fork

Star<br>115

main

BranchesTags

Go to file

CodeOpen more actions menu

Folders and files<br>NameNameLast commit message<br>Last commit date<br>Latest commit

History<br>48 Commits<br>48 Commits

.github/workflows

.github/workflows

assets/readme

assets/readme

gnm/shape

gnm/shape

google3/third_party/py/gnm

google3/third_party/py/gnm

.pylintrc

.pylintrc

CONTRIBUTING.md

CONTRIBUTING.md

LICENSE

LICENSE

README.md

README.md

View all files

Repository files navigation

GNM: Generative aNthropometric Model and Ecosystem

Welcome to the GNM Ecosystem repository. GNM - pronounced as genome<br>(/ˈdʒiː.noʊm/) in reference to the human genome - strives to be the most<br>accurate and complete 3D parametric human model.

3D Morphable Models (3DMMs) are widely used across computer vision, computer<br>graphics, and generative AI for representing human geometry and appearance. GNM<br>introduces a state-of-the-art family of parametric statistical human models and<br>its associated perception stack.

Our roadmap includes releasing a comprehensive suite of statistical models<br>complemented by perception and analysis technology. To facilitate early<br>community research and open development, we are beginning our open-source<br>release with GNM Head , our high-fidelity statistical 3D model of the human<br>head.

The ecosystem is released under a permissive license suitable for both<br>non-commercial and commercial applications.

GNM Ecosystem Packages

Here we list all the available GNM packages:

Name<br>Description<br>Chips<br>Teaser

GNM Head<br>Parametric 3D statistical human head and face geometry model providing fine-grained, disentangled control over identity, expressions, and head pose. The model contains controllable internal anatomy including eyeballs, teeth and tongue. Includes multi-framework backend support for NumPy , JAX , PyTorch , and TensorFlow , along with semantic parameter sampling.

Citation

If you use any part of the GNM Ecosystem in your work, please consider citing<br>the corresponding package. Relevant bibtex entries can be found in the<br>individual packages.

Contributing

We'd love to accept your patches and contributions to this project! See<br>CONTRIBUTING.md for more information on how to get started<br>and how we handle external contributions.

License

This project is licensed under the Apache License, Version 2.0. See the<br>LICENSE file for details.

About

GNM is a state-of-the-art parametric 3D statistical model of the human face and head, learned from a large dataset of 3D scans.

Topics

3dmm

gnm

parametric-model

Resources

Readme

License

Apache-2.0 license

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy

Uh oh!

There was an error while loading. Please reload this page.

Activity

Custom properties

Stars

115<br>stars

Watchers

watching

Forks

forks

Report repository

Releases

No releases published

Packages

Uh oh!

There was an error while loading. Please reload this page.

Uh oh!

There was an error while loading. Please reload this page.

Contributors

Uh oh!

There was an error while loading. Please reload this page.

Languages

Python<br>93.9%

Jupyter Notebook<br>6.1%

You can’t perform that action at this time.