Skip to main content

A parametric body model based on MakeHuman for PyTorch.

Project description

Anny Body

Anny

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.

ArXiv Demo Blogpost

Features

  • 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.

News

  • 2026-06-03: v0.5: code refactoring (one can now use "anny.Anny" syntax). Support for "soma" rig and topology. SMPLX wrapper with "anny" topology support.
  • 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.

Installation

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

Caching

Anny parses MakeHuman assets and caches pre-computed blend shape data to avoid recomputation on subsequent runs. The first instantiation of a model can take a few minutes. By default the cache is stored in ~/.cache/anny/. To use a different location, set the ANNY_CACHE_DIR environment variable:

export ANNY_CACHE_DIR=/path/to/cache

Tutorials

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

Interactive demo

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

python -m anny.examples.interactive_demo
Interactive demo

License

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.

data/soma: Annny provide a "soma" topology adapted from SOMA-X which is licenced under the Apache 2.0 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.

Citation

@misc{br\’egier2025humanmeshmodelinganny,
      title={Human Mesh Modeling for Anny Body}, 
      author={Romain Br\’egier and Gu\’enol\’e Fiche and Laura Bravo-S\’anchez and Thomas Lucas and Matthieu Armando and Philippe Weinzaepfel and Gr\’egory Rogez and Fabien Baradel},
      year={2025},
      eprint={2511.03589},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2511.03589}, 
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anny-0.5.tar.gz (44.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

anny-0.5-py3-none-any.whl (45.0 MB view details)

Uploaded Python 3

File details

Details for the file anny-0.5.tar.gz.

File metadata

  • Download URL: anny-0.5.tar.gz
  • Upload date:
  • Size: 44.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for anny-0.5.tar.gz
Algorithm Hash digest
SHA256 13c20a4eb2361ff95fa96eedae79cf83f27cc947249bd3e93e063cd5b0fcfaa6
MD5 3219b7a8a4254f190ac016b1941edbbb
BLAKE2b-256 abf5f5b5c36e6b59fc96a97c2b6d7fb5ffb4160d6a32dc7a3a5e80c7ef77b5c2

See more details on using hashes here.

File details

Details for the file anny-0.5-py3-none-any.whl.

File metadata

  • Download URL: anny-0.5-py3-none-any.whl
  • Upload date:
  • Size: 45.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for anny-0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 44f37816887cda745c853dc2a5514e0d692ece826abca35031dd05bf4a8db556
MD5 e4822e6c193daf753fcc1e49aa68b168
BLAKE2b-256 1290757622ed2a8d7abadb9e65c6e0baa723041f299af51194ee772c431c0ce2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page