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We are living in a world surrounded by diverse and "smart" devices with rich modalities of sensing ability.
Robot sensor calibration: solving ax= xb on the euclidean group
Frank C Park and Bryan J Martin · 1994
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Markerless garment capture
Derek Bradley, Tiberiu Popa, Alla Sheffer, Wolfgang Heidrich, and Tamy Boubekeur · 2008
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MeshLab: an Open-Source Mesh Processing Tool
Paolo Cignoni, Marco Callieri, Massimiliano Corsini, Matteo Dellepiane, Fabio Ganovelli, and Guido Ranzuglia · 2008
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Multisensor-fusion for 3d full-body human motion capture
Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, and Bodo Rosenhahn · 2010
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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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Xsens Technologies B.V
XSENS · 2011
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Real-time body tracking with one depth camera and inertial sensors
Thomas Helten, Meinard Muller, Hans-Peter Seidel, and Christian Theobalt · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Pose-conditioned joint angle limits for 3d human pose reconstruction
Ijaz Akhter and Michael J Black · 2015
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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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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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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Pigraphs: Learning interaction snapshots from observations
Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner · 2016
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Human pose estimation from video and imus
Timo Von Marcard, Gerard Pons-Moll, and Bodo Rosenhahn · 2016
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Deep kinematic pose regression
Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, and Yichen Wei · 2016
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HP-GAN: probabilistic 3d human motion prediction via GAN
Emad Barsoum, John Kender, and Zicheng Liu · 2017
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Motion2fusion: Real-time volumetric performance capture
Mingsong Dou, Philip Davidson, Sean Ryan Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, and Shahram Izadi · 2017
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Real-time full-body motion capture from video and imus
Charles Malleson, Andrew Gilbert, Matthew Trumble, John Collomosse, Adrian Hilton, and Marco Volino · 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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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 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 Collomosse · 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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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
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Total capture: A 3d deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
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Neural body fitting: Unifying deep learning and model-based human pose and shape estimation
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, and Bernt Schiele · 2018
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Learning to estimate 3D human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
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Integral human pose regression
Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, and Yichen Wei · 2018
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Indirect deep structured learning for 3d human body shape and pose prediction
Vince Tan, Ignas Budvytis, and Roberto Cipolla · 2018
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Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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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.
Hybridfusion: Real-time performance capture using a single depth sensor and sparse imus
Zerong Zheng, Tao Yu, Hao Li, Kaiwen Guo, Qionghai Dai, Lu Fang, and Yebin Liu · 2018
Cited alongside, same era.
Fusing visual and inertial sensors with semantics for 3d human pose estimation
Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation
Yifeng Jiang, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W. Winkler, and C. Karen Liu · 2022
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Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
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Pose-ndf: Modeling human pose manifolds with neural distance fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll · 2022
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Chore: Contact, human and object reconstruction from a single rgb image
Xianghui Xie, Bharat Lal Bhatnagar, and Gerard Pons-Moll · 2022
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Glamr: Global occlusion-aware human mesh recovery with dynamic cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, and Jan Kautz · 2022
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Andrew Gilbert, Matthew Trumble, Charles Malleson, Adrian Hilton, and John Collomosse · 2019
Cited alongside, same era.
Resolving 3D human pose ambiguities with 3D scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J. Black · 2019
Cited alongside, same era.
Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
Cited alongside, same era.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Cited alongside, same era.
Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qizhi Cai, Minh Vo, and Jitendra Malik · 2020
Cited alongside, same era.
Accurate long-term multiple people tracking using video and body-worn imus
Roberto Henschel, Timo Von Marcard, and Bodo Rosenhahn · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Smoothnet: A plug-and-play network for refining human poses in videos
Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, and Qiang Xu · 2022
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Couch: Towards controllable human-chair interactions
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, and Gerard Pons-Moll · 2022
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ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, and Otmar Hilliges · 2023
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Stackflow: Monocular human-object reconstruction by stacked normalizing flow with offset
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, and Jingya Wang · 2023
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Full-body articulated human-object interaction
Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan Zhang, Yixin Chen, He Wang, Yixin Zhu, and Siyuan Huang · 2023
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Guided motion diffusion for controllable human motion synthesis
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, and Siyu Tang · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Nifty: Neural object interaction fields for guided human motion synthesis, 2023
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, and Leonidas Guibas · 2023
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Hybridcap: Inertia-aid monocular capture of challenging human motions
Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, and Lan Xu · 2023
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Fusing monocular images and sparse imu signals for real-time human motion capture
Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, and Feng Xu · 2023
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Object pop-up: Can we infer 3d objects and their poses from human interactions alone?
Ilya A. Petrov, Riccardo Marin, Julian Chibane, and Gerard Pons-Moll · 2023
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3D CAPTURE, FOR EVERYONE
Polycam · 2023
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Sparseposer: Real-time full-body motion reconstruction from sparse data
Jose Luis Ponton, Haoran Yun, Andreas Aristidou, Carlos Andujar, and Nuria Pelechano · 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 motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2023
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Mobile Motion Capture ”mocopi”
SONY · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
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Diffusion inertial poser: Human motion reconstruction from arbitrary sparse imu configurations
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse, Scott Delp, and C Karen Liu · 2023
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Visibility aware human-object interaction tracking from single rgb camera
Xianghui Xie, Bharat Lal Bhatnagar, and Gerard Pons-Moll · 2023
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InterDiff: Generating 3d human-object interactions with physics-informed diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, and Liang-Yan Gui · 2023
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Track anything: Segment anything meets videos, 2023
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
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PhysDiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2023
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Professional Cinema Camera
Z CAM · 2023
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Synthesizing diverse human motions in 3d indoor scenes
Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, , and Siyu Tang · 2023
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Generating continual human motion in diverse 3d scenes
Aymen Mir, Xavier Puig, Angjoo Kanazawa, and Gerard Pons-Moll · 2024
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