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Replicating a user's pose from only wearable sensors is important for many AR/VR applications.
Motion Patches: Building Blocks for Virtual Environments Annotated with Motion Data. In ACM SIGGRAPH 2006 Papers (SIGGRAPH ’06) . 898–906
Kang Hoon Lee, Myung Geol Choi, and Jehee Lee. 2006 · 2006
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Construction and Optimal Search of Interpolated Motion Graphs
Alla Safonova and Jessica K. Hodgins. 2007 · 2007
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Interaction Patches for Multi-Character Animation
Hubert P. H. Shum, Taku Komura, Masashi Shiraishi, and Shuntaro Yamazaki. 2008 · 2008
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Synchronized Multi-Character Motion Editing
Manmyung Kim, Kyunglyul Hyun, Jongmin Kim, and Jehee Lee. 2009 · 2009
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Spatial Relationship Preserving Character Motion Adaptation. In ACM SIGGRAPH 2010 Papers (SIGGRAPH ’10) . Article 33, 8 pages
Edmond S. L. Ho, Taku Komura, and Chiew-Lan Tai. 2010 · 2010
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Realtime Human Motion Control with a Small Number of Inertial Sensors. In Symposium on Interactive 3D Graphics and Games (I3D ’11) . 133–140
Huajun Liu, Xiaolin Wei, Jinxiang Chai, Inwoo Ha, and Taehyun Rhee. 2011 · 2011
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Motion Reconstruction Using Sparse Accelerometer Data
Jochen Tautges, Arno Zinke, Björn Krüger, Jan Baumann, Andreas Weber, Thomas Helten, Meinard Müller, Hans-Peter Seidel, and Bernd Eberhardt. 2011 · 2011
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Environment-Aware Real-Time Crowd Control. In Proceedings of the 11th ACM SIGGRAPH / Eurographics Conference on Computer Animation (EUROSCA’12)
Joseph Henry, Hubert P. H. Shum, and Taku Komura. 2012 · 2012
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Generating and Ranking Diverse Multi-Character Interactions
Jungdam Won, Kyungho Lee, Carol O’Sullivan, Jessica K. Hodgins, and Jehee Lee. 2014 · 2014
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Motion Reconstruction Using Very Few Accelerometers and Ground Contacts
Qaiser Riaz, Guanhong Tao, Björn Krüger, and Andreas Weber. 2015 · 2015
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Real-Time Physics-Based Motion Capture with Sparse Sensors. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016) (CVMP 2016) . Article 5
Sheldon Andrews, Ivan Huerta, Taku Komura, Leonid Sigal, and Kenny Mitchell. 2016 · 2016
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Phase-Functioned Neural Networks for Character Control
Daniel Holden, Taku Komura, and Jun Saito. 2017 · 2017
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Learning human behaviors from motion capture by adversarial imitation
Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, and Nicolas Heess. 2017 · 2017
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Proximal Policy Optimization Algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017 · 2017
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Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
Timo von Marcard, Bodo Rosenhahn, Michael Black, and Gerard Pons-Moll. 2017 · 2017
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Preparing for the unknown: Learning a universal policy with online system identification
Wenhao Yu, Jie Tan, C Karen Liu, and Greg Turk. 2017 · 2017
Cited alongside, same era.
Physics-based motion capture imitation with deep reinforcement learning. In Motion, Interaction and Games, MIG 2018 . ACM, 1:1–1:10
Nuttapong Chentanez, Matthias Müller, Miles Macklin, Viktor Makoviychuk, and Stefan Jeschke. 2018 · 2018
Cited alongside, same era.
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, and Gerard Pons-Moll. 2018 · 2018
Cited alongside, same era.
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, and Dieter Fox. 2018 · 2018
Cited alongside, same era.
DeepMimic: Example-guided Deep Reinforcement Learning of Physics-based Character Skills
SuperTrack: Motion Tracking for Physically Simulated Characters using Supervised Learning
Levi Fussell, Kevin Bergamin, and Daniel Holden. 2021 · 2021
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Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4318–4329
Vladimir Guzov, Aymen Mir, Torsten Sattler, and Gerard Pons-Moll. 2021 · 2021
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EM-POSE: 3D Human Pose Estimation from Sparse Electromagnetic Trackers. In International Conference on Computer Vision (ICCV)
Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher Twigg, Jie Song, Robert Wang, and Otmar Hilliges. 2021 · 2021
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Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, and Kris Kitani. 2021 · 2021
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TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors
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Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne. 2018a · 2018
Cited alongside, same era.
SFV: Reinforcement Learning of Physical Skills from Videos
Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, and Sergey Levine. 2018b · 2018
Cited alongside, same era.
DReCon: Data-driven Responsive Control of Physics-based Characters
Kevin Bergamin, Simon Clavet, Daniel Holden, and James Richard Forbes. 2019 · 2019
Cited alongside, same era.
Learning Predict-and-simulate Policies from Unorganized Human Motion Data
Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee. 2019 · 2019
Cited alongside, same era.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Cited alongside, same era.
Neural State Machine for Character-Scene Interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito. 2019 · 2019
Cited alongside, same era.
Ego-Pose Estimation and Forecasting as Real-Time PD Control. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 10082–10092
Ye Yuan and Kris Kitani. 2019 · 2019
Cited alongside, same era.
An RNN-ensemble approach for real time human pose estimation from sparse IMUs. In Proceedings of the 3rd International Conference on Applications of Intelligent Systems . 1–6
Deepak Nagaraj, Erik Schake, Patrick Leiner, and Dirk Werth. 2020 · 2020
Cited alongside, same era.
Xinyu Yi, Yuxiao Zhou, and Feng Xu. 2021 · 2021
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SimPoE: Simulated Character Control for 3D Human Pose Estimation
Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, and Jason Saragih. 2021 · 2021
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ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation
He Zhang, Yuting Ye, Takaaki Shiratori, and Taku Komura. 2021 · 2021
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Genloco: Generalized locomotion controllers for quadrupedal robots
Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, et al · 2022
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AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing. In Proceedings of European Conference on Computer Vision . Springer
Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, and Christian Holz. 2022 · 2022
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Embodied Scene-aware Human Pose Estimation
Zhengyi Luo, Shun Iwase, Ye Yuan, and Kris Kitani. 2022 · 2022
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Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices
Jose Luis Ponton, Haoran Yun, Carlos Andujar, and Nuria Pelechano. 2022 · 2022
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QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars. In SIGGRAPH Asia 2022 Conference Papers (SA ’22)
Alexander Winkler, Jungdam Won, and Yuting Ye. 2022 · 2022
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Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users
Yongjing Ye, Libin Liu, Lei Hu, and Shihong Xia. 2022 · 2022
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Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu. 2022 · 2022
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