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We consider the problem of estimating a parametric model of 3D human mesh from a single image.
Pictorial structures for object recognition
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2005
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Clustered pose and nonlinear appearance models for human pose estimation
Sam Johnson and Mark Everingham · 2010
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Learning effective human pose estimation from inaccurate annotation
Sam Johnson and Mark Everingham · 2011
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Articulated human detection with flexible mixtures of parts
Yi Yang and Deva Ramanan · 2012
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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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DeepPose: Human pose estimation via deep neural networks
Alexander Toshev and Christian Szegedy · 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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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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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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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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Human pose estimation with iterative error feedback
Joao Carreira, Pulkit Agrawal, Katerina Fragkiadaki, and Jitendra Malik · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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DARWIN: Deformable patient avatar representation with deep image network
Vivek Singh, Kai Ma, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Thomas O’Donnell, and Terrence Chen · 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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Geometric loss functions for camera pose regression with deep learning
Alex Kendall and Roberto Cipolla · 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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3d human pose estimation from a single image via distance matrix regression
Francesc Moreno-Noguer · 2017
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Coarse-to-fine volumetric prediction for single-image 3d human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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A simple yet effective baseline for 3d human pose estimation
Learning pose grammar to encode human body configuration for 3d pose estimation
Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, and Song-Chun Zhu · 2018
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How robust is 3d human pose estimation to occlusion?
István Sárándi, Timm Linder, Kai O Arras, and Bastian Leibe · 2018
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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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HoloPose: Holistic 3d human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
Cited alongside, same era.
Indirect deep structured learning for 3d human body shape and pose prediction
Vince Tan, Ignas Budvytis, and Roberto Cipolla · 2017
Cited alongside, same era.
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
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
Cited alongside, same era.
Real-time convolutional networks for depth-based human pose estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet, and Jean-Marc Odobez · 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.
OpenPose: Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2018
Cited alongside, same era.
DaNet: Decompose-and-aggregate network for 3d human shape and pose estimation
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun · 2019
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DenseRaC: Joint 3d pose and shape estimation by dense render-and-compare
Yuanlu Xu, Song-Chun Zhu, and Tony Tung · 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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TexturePose: Supervising human mesh estimation with texture consistency
Georgios Pavlakos, Nikos Kolotouros, and Kostas Daniilidis · 2019
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Densebody: Directly regressing dense 3d human pose and shape from a single color image
Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, and Jiwei Li · 2019
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Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks
Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann · 2019
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Optimizing network structure for 3d human pose estimation
Hai Ci, Chunyu Wang, Xiaoxuan Ma, and Yizhou Wang · 2019
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Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
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Does learning specific features for related parts help human pose estimation?
Wei Tang and Ying Wu · 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 AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
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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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RePose: Learning deep kinematic priors for fast human pose estimation
Hossam Isack, Christian Haene, Cem Keskin, Sofien Bouaziz, Yuri Boykov, Shahram Izadi, and Sameh Khamis · 2020
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