_version_ 1866917101924515840
author Ferguson, Aaron
Osman, Ahmed A. A.
Bescos, Berta
Stoll, Carsten
Twigg, Chris
Lassner, Christoph
Otte, David
Vignola, Eric
Prada, Fabian
Bogo, Federica
Santesteban, Igor
Romero, Javier
Zarate, Jenna
Lee, Jeongseok
Park, Jinhyung
Yang, Jinlong
Doublestein, John
Venkateshan, Kishore
Kitani, Kris
Kavan, Ladislav
Farra, Marco Dal
Hu, Matthew
Cioffi, Matthew
Fabris, Michael
Ranieri, Michael
Modarres, Mohammad
Kadlecek, Petr
Khirodkar, Rawal
Abdrashitov, Rinat
Prévost, Romain
Rajbhandari, Roman
Mallet, Ronald
Pearsall, Russell
Kao, Sandy
Kumar, Sanjeev
Parrish, Scott
Yu, Shoou-I
Saito, Shunsuke
Shiratori, Takaaki
Wang, Te-Li
Tung, Tony
Xu, Yichen
Dong, Yuan
Chen, Yuhua
Xu, Yuanlu
Ye, Yuting
Jiang, Zhongshi
author_facet Ferguson, Aaron
Osman, Ahmed A. A.
Bescos, Berta
Stoll, Carsten
Twigg, Chris
Lassner, Christoph
Otte, David
Vignola, Eric
Prada, Fabian
Bogo, Federica
Santesteban, Igor
Romero, Javier
Zarate, Jenna
Lee, Jeongseok
Park, Jinhyung
Yang, Jinlong
Doublestein, John
Venkateshan, Kishore
Kitani, Kris
Kavan, Ladislav
Farra, Marco Dal
Hu, Matthew
Cioffi, Matthew
Fabris, Michael
Ranieri, Michael
Modarres, Mohammad
Kadlecek, Petr
Khirodkar, Rawal
Abdrashitov, Rinat
Prévost, Romain
Rajbhandari, Roman
Mallet, Ronald
Pearsall, Russell
Kao, Sandy
Kumar, Sanjeev
Parrish, Scott
Yu, Shoou-I
Saito, Shunsuke
Shiratori, Takaaki
Wang, Te-Li
Tung, Tony
Xu, Yichen
Dong, Yuan
Chen, Yuhua
Xu, Yuanlu
Ye, Yuting
Jiang, Zhongshi
contents We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Momentum library. Our model enables expressive, anatomically plausible human animation, supporting non-linear pose correctives, and is designed for robust integration in AR/VR and graphics pipelines.
format Preprint
id arxiv_https___arxiv_org_abs_2511_15586
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle MHR: Momentum Human Rig
Ferguson, Aaron
Osman, Ahmed A. A.
Bescos, Berta
Stoll, Carsten
Twigg, Chris
Lassner, Christoph
Otte, David
Vignola, Eric
Prada, Fabian
Bogo, Federica
Santesteban, Igor
Romero, Javier
Zarate, Jenna
Lee, Jeongseok
Park, Jinhyung
Yang, Jinlong
Doublestein, John
Venkateshan, Kishore
Kitani, Kris
Kavan, Ladislav
Farra, Marco Dal
Hu, Matthew
Cioffi, Matthew
Fabris, Michael
Ranieri, Michael
Modarres, Mohammad
Kadlecek, Petr
Khirodkar, Rawal
Abdrashitov, Rinat
Prévost, Romain
Rajbhandari, Roman
Mallet, Ronald
Pearsall, Russell
Kao, Sandy
Kumar, Sanjeev
Parrish, Scott
Yu, Shoou-I
Saito, Shunsuke
Shiratori, Takaaki
Wang, Te-Li
Tung, Tony
Xu, Yichen
Dong, Yuan
Chen, Yuhua
Xu, Yuanlu
Ye, Yuting
Jiang, Zhongshi
Graphics
Computer Vision and Pattern Recognition
We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Momentum library. Our model enables expressive, anatomically plausible human animation, supporting non-linear pose correctives, and is designed for robust integration in AR/VR and graphics pipelines.
title MHR: Momentum Human Rig
topic Graphics
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2511.15586