详细信息
- 来源站点
- ArXiv CS.CV
- 作者
- Romain Br\'egier, Gu\'enol\'e Fiche, Laura Bravo-S\'anchez, Thomas Lucas, Matthieu Armando, Philippe Weinzaepfel, Gr\'egory Rogez, Fabien Baradel
- 文章类型
- PAPER
- 语言
- en
- 发布日期
- 2026-07-31
摘要
arXiv:2511.03589v3 Announce Type: replace Abstract: Parametric body models provide the structural basis for many human-centric tasks, yet existing models often rely on costly 3D scans and learned shape spaces that are proprietary and demographically narrow. We introduce Anny, a simple, fully differentiable, and scan-free human body model grounded in anthropometric knowledge from the MakeHuman community. Anny defines a continuous, interpretable shape space, where phenotype parameters (e.g. gender, age, height, weight) control blendshapes spanning a wide range of human forms---across ages (from infants to elders), body types, and proportions. Calibrated using WHO population statistics, Anny provides realistic and demographically grounded human shape variation within a single unified model. We release the Anny body model and its code under the Apache 2.0 license.