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For human-centric large-scale scenes, fine-grained modeling for 3D human global pose and shape is significant for scene understanding and can benefit many real-world applications.
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Zhengyou Zhang · 2000
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Practical motion capture in everyday surroundings
Daniel Vlasic, Rolf Adelsberger, Giovanni Vannucci, John Barnwell, Markus Gross, Wojciech Matusik, and Jovan Popović · 2007
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Multi-view pictorial structures for 3D human pose estimation
Sikander Amin, Mykhaylo Andriluka, Marcus Rohrbach, and Bernt Schiele · 2009
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OptiTrack Motion Capture Systems
OptiTrack · 2009
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HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O. Bălan, and Michael J. Black · 2010
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Vicon Motion Capture Systems
Vicon · 2010
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A data-driven approach for real-time full body pose reconstruction from a depth camera
Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, and Christian Theobalt · 2011
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Real-time human pose recognition in parts from single depth images
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, and Andrew Blake · 2011
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Xsens Technologies B.V
XSENS · 2011
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Accurate realtime full-body motion capture using a single depth camera
Xiaolin Wei, Peizhao Zhang, and Jinxiang Chai · 2012
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3D pictorial structures for multiple view articulated pose estimation
Magnus Burenius, Josephine Sullivan, and Stefan Carlsson · 2013
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras
Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Chris Bregler, Bernt Schiele, and Christian Theobalt · 2015
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Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Noitom Motion Capture Systems
Noitom · 2015
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A versatile scene model with differentiable visibility applied to generative pose estimation
Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, and Christian Theobalt · 2015
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Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
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Model-based outdoor performance capture
Nadia Robertini, Dan Casas, Helge Rhodin, Hans-Peter Seidel, and Christian Theobalt · 2016
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Towards accurate marker-less human shape and pose estimation over time
Y. Huang, F. Bogo, C. Lassner, A. Kanazawa, P. V. Gehler, J. Romero, I. Akhter, and M. J. Black · 2017
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Unite the people: Closing the loop between 3d and 2d human representations
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J Black, and Peter V Gehler · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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Harvesting multiple views for marker-less 3d human pose annotations
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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Hand keypoint detection in single images using multiview bootstrapping
Tomas Simon, Hanbyul Joo, Iain Matthews, and Yaser Sheikh · 2017
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Learning from synthetic humans
Gul Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J Black, Ivan Laptev, and Cordelia Schmid · 2017
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Sparse inertial poser: Automatic 3d human pose estimation from sparse imus
Timo Von Marcard, Bodo Rosenhahn, Michael J Black, and Gerard Pons-Moll · 2017
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Twinfusion: High framerate non-rigid fusion through fast correspondence tracking
Challencap: Monocular 3d capture of challenging human performances using multi-modal references
Yannan He, Anqi Pang, Xin Chen, Han Liang, Minye Wu, Yuexin Ma, and Lan Xu · 2021
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Pare: Part attention regressor for 3d human body estimation
Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, and Michael J. Black · 2021
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Probabilistic modeling for human mesh recovery
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, and Kostas Daniilidis · 2021
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Ai choreographer: Music conditioned 3d dance generation with aist++, 2021
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
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Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, and Kris Kitani · 2021
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Humor: 3d human motion model for robust pose estimation
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Kaiwen Guo, Jonathan Taylor, Sean Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, and Shahram Izadi · 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
Cited alongside, same era.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
Cited alongside, same era.
Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo Von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
Cited alongside, same era.
Monoperfcap: Human performance capture from monocular video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, and Christian Theobalt · 2018
Cited alongside, same era.
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
Cited alongside, same era.
Livecap: Real-time human performance capture from monocular video
Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, and Christian Theobalt · 2019
Cited alongside, same era.
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J. Guibas · 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
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Cylindrical and asymmetrical 3d convolution networks for lidar-based perception
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, and Dahua Lin · 2021
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Humman: Multi-modal 4d human dataset for versatile sensing and modeling
Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, et al · 2022
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Hsc4d: Human-centered 4d scene capture in large-scale indoor-outdoor space using wearable imus and lidar
Yudi Dai, Yitai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, and Cheng Wang · 2022
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Lidarcap: Long-range marker-less 3d human motion capture with lidar point clouds
Jialian Li, Jingyi Zhang, Zhiyong Wang, Siqi Shen, Chenglu Wen, Yuexin Ma, Lan Xu, Jingyi Yu, and Cheng Wang · 2022
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Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
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Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu · 2022
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Pointhps: Cascaded 3d human pose and shape estimation from point clouds
Zhongang Cai, Liang Pan, Chen Wei, Wanqi Yin, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, and Ziwei Liu · 2023
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Sloper4d: A scene-aware dataset for global 4d human pose estimation in urban environments
Yudi Dai, Yitai Lin, Xiping Lin, Chenglu Wen, Lan Xu, Hongwei Yi, Siqi Shen, Yuexin Ma, and Cheng Wang · 2023
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Movin: Real-time motion capture using a single lidar
Deok-Kyeong Jang, Dongseok Yang, Deok-Yun Jang, Byeoli Choi, Taeil Jin, and Sung-Hee Lee · 2023
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Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection
Xidong Peng, Xinge Zhu, and Yuexin Ma · 2023
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Capturing Reality
RealityCapture · 2023
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Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors
Yiming Ren, Chengfeng Zhao, Yannan He, Peishan Cong, Han Liang, Jingyi Yu, Lan Xu, and Yuexin Ma · 2023
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Human-centric scene understanding for 3d large-scale scenarios
Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, and Yuexin Ma · 2023
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Cimi4d: A large multimodal climbing motion dataset under human-scene interactions
Ming Yan, Xin Wang, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, and Cheng Wang · 2023
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