GNM Head provides disentangled control over identity, expression, and head pose, while also modeling internal anatomy such as eyeballs, teeth, and tongue. The package is designed for multi-framework use with NumPy, JAX, PyTorch, and TensorFlow backends, plus semantic parameter sampling for generating and analyzing human head variations.
GNM is useful for researchers and developers building face reconstruction, animation, synthetic data, avatars, digital humans, and 3D perception systems. The repository is released under Apache 2.0 and presents GNM Head as the first step toward a broader suite of statistical human models and analysis technology.
