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Real-time human motion reconstruction from a sparse set of (e.g.
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Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
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Computationally Efficient Adaptive Error-State Kalman Filter for Attitude Estimation
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Mobile. Egocentric Human Body Motion Reconstruction Using Only Eyeglasses-mounted Cameras and a Few Body-worn Inertial Sensors. In 2021 IEEE Virtual Reality and 3D User Interfaces (VR)
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Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations. In International Conference on Computer Vision 2021
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Densepose: Dense human pose estimation in the wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 7297–7306
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos. 2018 · 2018
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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.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera. In European Conference on Computer Vision (ECCV)
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll. 2018 · 2018
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HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs. In European Conference on Computer Vision (ECCV) , Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.). 389–406
Zerong Zheng, Tao Yu, Hao Li, Kaiwen Guo, Qionghai Dai, Lu Fang, and Yebin Liu. 2018 · 2018
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OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh. 2019 · 2019
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Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation
Andrew Gilbert, Matthew Trumble, Charles Malleson, Adrian Hilton, and John Collomosse. 2019 · 2019
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Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Tom Cashman, and Jamie Shotton. 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 CVPR
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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Human motion reconstruction using deep transformer networks
Seong Uk Kim, Hanyoung Jang, Hyeonseung Im, and Jongmin Kim. 2021 · 2021
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AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa. 2021 · 2021
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Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation. In NeurIPS
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, and Kris Kitani. 2021 · 2021
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Action-Conditioned 3D Human Motion Synthesis with Transformer VAE. In International Conference on Computer Vision (ICCV) . 10985–10995
Mathis Petrovich, Michael J. Black, and Gül Varol. 2021 · 2021
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Humor: 3d human motion model for robust pose estimation. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 11488–11499
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J Guibas. 2021 · 2021
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Transflower: Probabilistic Autoregressive Dance Generation with Multimodal Attention
Guillermo Valle-Pérez, Gustav Eje Henter, Jonas Beskow, Andre Holzapfel, Pierre-Yves Oudeyer, and Simon Alexanderson. 2021 · 2021
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Robust Error-State Kalman Filter for Estimating IMU Orientation
Rachel V. Vitali, Ryan S. McGinnis, and Noel C. Perkins. 2021 · 2021
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LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals
Dongseok Yang, Doyeon Kim, and Sung-Hee Lee. 2021 · 2021
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TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors
Xinyu Yi, Yuxiao Zhou, and Feng Xu. 2021 · 2021
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Rokoko https://www.rokoko.com/
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Xsens https://www.xsens.com/
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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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