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Human motion is fundamental to understanding behavior.
Visual perception of biological motion and a model for its analysis
Gunnar Johansson · 1973
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David Hogg · 1983
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Learning and tracking cyclic human motion
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, and Trevor Hastie · 2001
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Inferring 3D structure with a statistical image-based shape model
Kristen Grauman, Gregory Shakhnarovich, and Trevor Darrell · 2003
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Scape: Shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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Recovering 3D human pose from monocular images
Ankur Agarwal and Bill Triggs · 2006
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3D people tracking with Gaussian process dynamical models
Raquel Urtasun, David J. Fleet, and Pascal Fua · 2006
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The naked truth: Estimating body shape under clothing
Alexandru Balan and Michael J Black · 2008
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Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan, and Michael J Black · 2008
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Modec: Multimodal decomposable models for human pose estimation
Ben Sapp and Ben Taskar · 2013
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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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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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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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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 P. Kingma and Jimmy Ba · 2014
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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MoSh: Motion and shape capture from sparse markers
Matthew Loper, Naureen Mahmood, and Michael J. Black · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 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 Gehler, Javier Romero, and Michael J. Black · 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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DeepCut: Joint subset partition and labeling for multi person pose estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, and Bernt Schiele · 2016
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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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
Joao Carreira and Andrew Zisserman · 2017
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Towards accurate marker-less human shape and pose estimation over time
Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V. Gehler, Javier Romero, Ijaz Akhter, and Michael J. Black · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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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Wasserstein auto-encoders
Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, and Bernhard Scholkopf · 2018
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BodyNet: Volumetric inference of 3D human body shapes
Gül Varol, Duygu Ceylan, Bryan Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, and Cordelia Schmid · 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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Adversarial neural machine translation
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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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Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 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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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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Indirect deep structured learning for 3D human shape and pose prediction
Jun Kai Vince Tan, Ignas Budvytis, and Roberto Cipolla · 2017
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Self-supervised learning of motion capture
Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, and Katerina Fragkiadaki · 2017
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Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, , and Tie-Yan Liu · 2018
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Improving neural machine translation with conditional sequence generative adversarial nets
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu · 2018
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Structured prediction helps 3D human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
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Exploiting temporal context for 3D human pose estimation in the wild
Anurag Arnab, Carl Doersch, and Andrew Zisserman · 2019
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Sim2real transfer learning for 3D pose estimation: motion to the rescue
Carl Doersch and Andrew Zisserman · 2019
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HoloPose: Holistic 3D human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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Learning 3D human dynamics from video
Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, and Jitendra Malik · 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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Convolutional mesh regression for single-image human shape reconstruction
Nikos Kolotouros, Georgios Pavlakos, and Kostas Daniilidis · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 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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PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, , Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Human mesh recovery from monocular images via a skeleton-disentangled representation
Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, and Tao Mei · 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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From variational to deterministic autoencoders
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael Black, and Bernhard Schölkopf · 2020
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