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Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications.
Tracking people with twists and exponential maps
Christoph Bregler and Jitendra Malik · 1998
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Markerless motion capture of complex full-body movement for character animation
Andrew J. Davison, Jonathan Deutscher, and Ian D. Reid · 2001
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Practical motion capture in everyday surroundings
Daniel Vlasic, Rolf Adelsberger, Giovanni Vannucci, John C. Barnwell, Markus H. Gross, Wojciech Matusik, and Jovan Popović · 2007
Earlier work this paper cites.
Performance capture from sparse multi-view video
Edilson de Aguiar, Carsten Stoll, Christian Theobalt, Naveed Ahmed, Hans-Peter Seidel, and Sebastian Thrun · 2008
Earlier work this paper cites.
Markerless motion capture with unsynchronized moving cameras
Nils Hasler, Bodo Rosenhahn, Thorsten Thormahlen, Michael Wand, Juergen Gall, and Hans-Peter Seidel · 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. Balan, and Michael J. Black · 2009
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Outdoor human motion capture using inverse kinematics and von mises-fisher sampling
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixe, Meinard Mueller, Hans-Peter Seidel, and Bodo Rosenhahn · 2011
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Fast articulated motion tracking using a sums of Gaussians body model
Carsten Stoll, Nils Hasler, Juergen Gall, Hans-Peter Seidel, and Christian Theobalt · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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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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From actemes to action: A strongly-supervised representation for detailed action understanding
Weiyu Zhang, Menglong Zhu, and Konstantinos G. Derpanis · 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 · 2014
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High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 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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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 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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Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, and Michael J. Black · 2016
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Fusion4D: Real-time Performance Capture of Challenging Scenes
Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Fanello, Adarsh Kowdle, Sergio Orts Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, and Shahram Izadi · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
João Carreira and Andrew Zisserman · 2017
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Real-time geometry, albedo and motion reconstruction using a single rgbd camera
Kaiwen Guo, Feng Xu, Tao Yu, Xiaoyang Liu, Qionghai Dai, and Yebin Liu · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal V. Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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Vnect: Real-time 3d human pose estimation with a single rgb camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, and Christian Theobalt · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space, 2017
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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Total capture: 3d human pose estimation fusing video and inertial sensors
Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, and John P. Collomosse · 2017
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Learning from synthetic humans
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2017
Cited alongside, same era.
Outdoor markerless motion capture with sparse handheld video cameras
Yangang Wang, Yebin Liu, Xin Tong, Qionghai Dai, and Ping Tan · 2017
Cited alongside, same era.
Posetrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Anton Milan, Eldar Insafutdinov, Leonid Pishchulin, Juergen Gall, and Bernt Schiele · 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.
Total capture: A 3d deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
Cited alongside, same era.
End-to-end recovery of human shape and pose
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Deepcap: Monocular human performance capture using weak supervision
Marc Habermann, Weipeng Xu, Michael Zollhofer, Gerard Pons-Moll, and Christian Theobalt · 2020
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Randla-net: Efficient semantic segmentation of large-scale point clouds
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
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Monocular real-time volumetric performance capture
Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, and Hao Li · 2020
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Tailornet: Predicting clothing in 3d as a function of human pose, shape and garment style
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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.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Cited alongside, same era.
https://www.xsens.com/ , 2019
Xsens Technologies B.V · 2019
Cited alongside, same era.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Bongsoo Choy, JunYoung Gwak, and Silvio Savarese · 2019
Cited alongside, same era.
Chaitanya Patel, Zhouyingcheng Liao, and Gerard Pons-Moll · 2020
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Robustfusion: Human volumetric capture with data-driven visual cues using a rgbd camera
Zhuo Su, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, and Lu Fang · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott M. Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
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Eventcap: Monocular 3d capture of high-speed human motions using an event camera
Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, and Christian Theobalt · 2020
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Eventcap: Monocular 3d capture of high-speed human motions using an event camera
Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Ming Fang, and Christian Theobalt · 2020
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3d human shape and pose from a single low-resolution image with self-supervised learning
Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, Laszlo A Jeni, and Fernando De la Torre · 2020
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Point 4d transformer networks for spatio-temporal modeling in point cloud videos
Hehe Fan, Yi Yang, and Mohan S. Kankanhalli · 2021
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Pstnet: Point spatio-temporal convolution on point cloud sequences
Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, and M. Kankanhalli · 2021
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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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Spatio-temporal self-supervised representation learning for 3d point clouds
Siyuan Huang, Yichen Xie, Song-Chun Zhu, and Yixin Zhu · 2021
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https://noitom.com/ , 2021
INC. NOITOM INTERNATIONAL · 2021
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Latticenet: Fast spatio-temporal point cloud segmentation using permutohedral lattices
Radu Alexandru Rosu, Peer Schutt, Jan Quenzel, and Sven Behnke · 2021
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Anchor-based spatio-temporal attention 3-d convolutional networks for dynamic 3-d point cloud sequences
Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, and Hesheng Wang · 2021
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Self-supervised 4d spatio-temporal feature learning via order prediction of sequential point cloud clips
Haiyan Wang, Liang Yang, Xuejian Rong, Jinglun Feng, and Yingli Tian · 2021
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3d human pose, shape and texture from low-resolution images and videos
Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, Laszlo A Jeni, and Fernando De la Torre · 2021
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S3: Neural shape, skeleton, and skinning fields for 3d human modeling
Ze Yang, Shenlong Wang, Siva Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, and Raquel Urtasun · 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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Neural descent for visual 3d human pose and shape
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2021
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We are more than our joints: Predicting how 3d bodies move
Yan Zhang, Michael J Black, and Siyu Tang · 2021
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