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Modeling realistic human joint limits is important for applications involving physical human-robot interaction. However, setting appropriate human joint limits is challenging because it is pose-dependent: the range of joint motion varies…

Robotics · Computer Science 2018-04-10 Yifeng Jiang , C. Karen Liu

This work targets a novel text-driven whole-body motion generation task, which takes a given textual description as input and aims at generating high-quality, diverse, and coherent facial expressions, hand gestures, and body motions…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Shunlin Lu , Ling-Hao Chen , Ailing Zeng , Jing Lin , Ruimao Zhang , Lei Zhang , Heung-Yeung Shum

The stomach plays a central role in digestion through coordinated muscle contractions, known as gastric peristalsis, driven by slow-wave electrophysiology. Understanding this process is critical for treating motility disorders such as…

Computational Engineering, Finance, and Science · Computer Science 2025-12-15 Maire S. Henke , Sebastian Brandstaeter , Sebastian L. Fuchs , Roland C. Aydin , Alessio Gizzi , Christian J. Cyron

Being able to reproduce physical phenomena ranging from light interaction to contact mechanics, simulators are becoming increasingly useful in more and more application domains where real-world interaction or labeled data are difficult to…

Robotics · Computer Science 2022-09-13 Eric Heiden , Ziang Liu , Vibhav Vineet , Erwin Coumans , Gaurav S. Sukhatme

Robots applied in therapeutic scenarios, for instance in the therapy of individuals with Autism Spectrum Disorder, are sometimes used for imitation learning activities in which a person needs to repeat motions by the robot. To simplify the…

Robotics · Computer Science 2022-07-26 Natalia Quiroga , Alex Mitrevski , Paul G. Plöger

In this paper, we address the challenge of reconstructing general articulated 3D objects from a single video. Existing works employing dynamic neural radiance fields have advanced the modeling of articulated objects like humans and animals…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Chaoyue Song , Jiacheng Wei , Chuan-Sheng Foo , Guosheng Lin , Fayao Liu

Despite progress in human motion capture, existing multi-view methods often face challenges in estimating the 3D pose and shape of multiple closely interacting people. This difficulty arises from reliance on accurate 2D joint estimations,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Feichi Lu , Zijian Dong , Jie Song , Otmar Hilliges

Accurately reconstructing full-body poses from sparse head and hand trajectories is a foundational challenge for immersive AR/VR telepresence. Current methods often struggle with error accumulation and unnatural joint coordination,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Runzhen Liu , Chuhua Xian , Fa-Ting Hong

Objective: A digital twin of a patient can be a valuable tool for enhancing clinical tasks such as workflow automation, patient-specific X-ray dose optimization, markerless tracking, positioning, and navigation assistance in image-guided…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Karthik Shetty , Annette Birkhold , Srikrishna Jaganathan , Norbert Strobel , Bernhard Egger , Markus Kowarschik , Andreas Maier

We present a framework of elastic locomotion, which allows users to enliven an elastic body to produce interesting locomotion by prescribing its high-level kinematics. We formulate this problem as an inverse simulation problem and seek the…

Graphics · Computer Science 2024-05-24 Siyuan Shen , Tianjia Shao , Kun Zhou , Chenfanfu Jiang , Sheldon Andrews , Victor Zordan , Yin Yang

It is well-known that inverse dynamics models can improve tracking performance in robot control. These models need to precisely capture the robot dynamics, which consist of well-understood components, e.g., rigid body dynamics, and effects…

Robotics · Computer Science 2022-05-30 Moritz Reuss , Niels van Duijkeren , Robert Krug , Philipp Becker , Vaisakh Shaj , Gerhard Neumann

Rigid bodies, plastic impact, persistent contact, Coulomb friction, and massless limbs are ubiquitous simplifications introduced to reduce the complexity of mechanics models despite the obvious physical inaccuracies that each incurs…

Robotics · Computer Science 2020-07-31 Aaron M. Johnson , Samuel A. Burden , Daniel E. Koditschek

This paper introduces a new Finite Element biomechanical model of the human face, which has been developed to be integrated into a simulator for plastic and maxillo-facial surgery. The idea is to be able to predict, from an aesthetic and…

Medical Physics · Physics 2007-05-23 Matthieu Chabanas , Yohan Payan

We present a technique designed for parallelizing large rigid body simulations, capable of exploiting multiple CPU cores within a computer and across a network. Our approach can be applied to simulate both unilateral and bilateral…

Graphics · Computer Science 2024-03-27 Manas Kale , Paul G. Kry

Human motion synthesis is an important problem with applications in graphics, gaming and simulation environments for robotics. Existing methods require accurate motion capture data for training, which is costly to obtain. Instead, we…

Computer Vision and Pattern Recognition · Computer Science 2022-08-15 Kevin Xie , Tingwu Wang , Umar Iqbal , Yunrong Guo , Sanja Fidler , Florian Shkurti

Data-driven character animation techniques rely on the existence of a properly established model of motion, capable of describing its rich context. However, commonly used motion representations often fail to accurately encode the full…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Nefeli Andreou , Andreas Aristidou , Yiorgos Chrysanthou

We focus on the task of estimating a physically plausible articulated human motion from monocular video. Existing approaches that do not consider physics often produce temporally inconsistent output with motion artifacts, while…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Erik Gärtner , Mykhaylo Andriluka , Hongyi Xu , Cristian Sminchisescu

This work proposes a novel learning framework for visual hand dynamics analysis that takes into account the physiological aspects of hand motion. The existing models, which are simplified joint-actuated systems, often produce unnatural…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Pengfei Xie , Wenqiang Xu , Tutian Tang , Zhenjun Yu , Cewu Lu

Reconstructing 3D clothed human involves creating a detailed geometry of individuals in clothing, with applications ranging from virtual try-on, movies, to games. To enable practical and widespread applications, recent advances propose to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Yifan Yang , Dong Liu , Shuhai Zhang , Zeshuai Deng , Zixiong Huang , Mingkui Tan

Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user's motion is that commercial AR/VR products consist only of a headset and controllers,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Daniele Reda , Jungdam Won , Yuting Ye , Michiel van de Panne , Alexander Winkler