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Most realtime human pose estimation approaches are based on detecting joint positions.
Determination of 3d human body postures from a single view
Hsi-Jian Lee and Zen Chen · 1985
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Least-squares estimation of transformation parameters between two point patterns
Shinji Umeyama · 1991
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Federer v Safin
elyob · 2007
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Epnp: An accurate o(n) solution to the pnp problem, 2008
V. Lepetit, F. Moreno-Noguer, and P. Fua · 2008
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3d human pose reconstruction using millions of exemplars
Hao Jiang · 2010
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Latent structured models for human pose estimation
Cristian Sminchisescu Catalin Ionescu, Fuxin Li · 2011
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Y. Bengio · 2011
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2012
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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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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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 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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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 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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Metric regression forests for correspondence estimation
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, and Andrew Fitzgibbon · 2015
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Efficient object localization using convolutional networks
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, and Christoph Bregler · 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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3d human pose estimation via deep learning from 2d annotations
Ernesto Brau and Hao Jiang · 2016
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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3d human pose estimation using convolutional neural networks with 2d pose information
Sungheon Park, Jihye Hwang, and Nojun Kwak · 2016
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A dual-source approach for 3d pose estimation from a single image
Hashim Yasin, Umar Iqbal, Bjorn Kruger, Andreas Weber, and Juergen Gall · 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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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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3d human pose estimation= 2d pose estimation+ matching
Ching-Hang Chen and Deva Ramanan · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick · 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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A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J. Little · 2017
Cited alongside, same era.
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
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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Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
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3d human pose estimation in the wild by adversarial learning
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, and Xiaogang Wang · 2018
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Weakly-supervised discovery of geometry-aware representation for 3d human pose estimation
Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, and Liang Lin · 2019
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In the wild human pose estimation using explicit 2d features and intermediate 3d representations
Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, and Christian Theobalt · 2019
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Cited alongside, same era.
3d human pose estimation from a single image via distance matrix regression
Francesc Moreno-Noguer · 2017
Cited alongside, same era.
Coarse-to-fine volumetric prediction for single-image 3D human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
Cited alongside, same era.
Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth
Mahdi Rad and Vincent Lepetit · 2017
Cited alongside, same era.
Learning to fuse 2d and 3d image cues for monocular body pose estimation
Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, and Pascal Fua · 2017
Cited alongside, same era.
Lifting from the deep: Convolutional 3d pose estimation from a single image
Denis Tome, Chris Russell, and Lourdes Agapito · 2017
Cited alongside, same era.
Towards 3d human pose estimation in the wild: A weakly-supervised approach
Xingyi Zhou, Qixing Huang, Xiao Sun, Xiangyang Xue, and Yichen Wei · 2017
Cited alongside, same era.
Karim Iskakov, Egor Burkov, Victor Lempitsky, and Yury Malkov · 2019
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Self-supervised learning of 3d human pose using multi-view geometry
Muhammed Kocabas, Salih Karagoz, and Emre Akbas · 2019
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Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, and Kostas Daniilidis · 2019
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3d human pose estimation with 2d marginal heatmaps
Aiden Nibali, Zhen He, Stuart Morgan, and Luke Prendergast · 2019
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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
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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation
Bastian Wandt and Bodo Rosenhahn · 2019
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Skeleton transformer networks: 3d human pose and skinned mesh from single rgb image
Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, and Akihiko Murai · 2019
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Monocap: Monocular human motion capture using a cnn coupled with a geometric prior
Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos, Spyridon Leonardos, Konstantinos G. Derpanis, and Kostas Daniilidis · 2019
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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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Monocular expressive body regression through body-driven attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, and Michael J Black · 2020
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Weakly-supervised 3d human pose learning via multi-view images in the wild
Umar Iqbal, Pavlo Molchanov, and Jan Kautz · 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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An analysis of svd for deep rotation estimation
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, and Ameesh Makadia · 2020
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XNect: Real-time multi-person 3D motion capture with a single RGB camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, and Christian Theobalt · 2020
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Learning 3d human shape and pose from dense body parts
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun · 2020
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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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Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, and Cewu Lu · 2021
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Kevin Lin, Lijuan Wang, and Zicheng Liu · 2021
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Monocular, one-stage, regression of multiple 3d people
Yu Sun, Qian Bao, Wu Liu, Yili Fu, Black Michael J., and Tao Mei · 2021
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