Anny is a differentiable human body mesh model written in PyTorch. Anny models a large variety of human body shapes, from infants to elders, using a common topology and parameter space.

• Anny is based on the tremendous work of the MakeHuman community, which offers plenty of opportunities for extensions.
• We provide both full body and part-specific models for hands and faces.
• Anny is open-source and free.

• 2026-02-04: v0.3: "smplx" topology available for interoperability with SMPL-X (non-commercial use only). Nipple blend shapes excluded from default settings (use local_changes="all" for backward compatibility).
• 2025-11-21: v0.2: support for different mesh topologies.
• 2025-11-05: v0.1: initial release.

Full installation (depends on warp-lang, which may require some manual work to install):

pip install anny[warp,examples]

Minimal dependency installation (will use more memory with large batch sizes):

pip install anny

Installation from latest sources:

pip install anny[warp,examples]@git+https://github.com/naver/anny.git

To get started with Anny, you can have a look at the different notebooks in the tutorials repository:

• Shape parameterization
• Pose parameterization
• Texture coordinates
• Alternative models

We provide a simple Gradio demo enabling to interact with the model easily:

python -m anny.examples.interactive_demo

The code of Anny, Copyright (c) 2025 NAVER Corp., is licensed under the Apache License, Version 2.0 (see LICENSE).

data/mpfb2: Anny relies on MakeHuman assets adapted from MPFB2 that are licensed under the CC0 1.0 Universal License.

smplx: A "smplx" topology can be downloaded for non-commercial use only, allowing interoperability with SMPL-X. See LICENSE.txt and NOTICE.txt files in http://download.europe.naverlabs.com/humans/Anny/noncommercial.zip for more information.

@misc{brégier2025humanmeshmodelinganny,
      title={Human Mesh Modeling for Anny Body}, 
      author={Romain Brégier and Guénolé Fiche and Laura Bravo-Sánchez and Thomas Lucas and Matthieu Armando and Philippe Weinzaepfel and Grégory Rogez and Fabien Baradel},
      year={2025},
      eprint={2511.03589},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2511.03589}, 
}