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Despite significant progress, we show that state of the art 3D human pose and shape estimation methods remain sensitive to partial occlusion and can produce dramatically wrong predictions although much of the body is observable.
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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Detailed human shape and pose from images
Alexandru O Balan, Leonid Sigal, Michael J Black, James E Davis, and Horst W Haussecker · 2007
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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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Estimating human pose from occluded images
Jia-Bin Huang and Ming-Hsuan Yang · 2009
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Learning effective human pose estimation from inaccurate annotation
Sam Johnson and Mark Everingham · 2011
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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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Parsing occluded people
Golnaz Ghiasi, Yi Yang, Deva Ramanan, and Charless C Fowlkes · 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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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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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 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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Understanding deep image representations by inverting them
Aravindh Mahendran and Andrea Vedaldi · 2015
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A semantic occlusion model for human pose estimation from a single depth image
Umer Rafi, Juergen Gall, and Bastian Leibe · 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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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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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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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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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 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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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 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 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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3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data
Benjamin Biggs, David Novotny, Sebastien Ehrhardt, Hanbyul Joo, Ben Graham, and Andrea Vedaldi · 2020
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3d human pose estimation using spatio-temporal networks with explicit occlusion training
Yu Cheng, Bo Yang, Bo Wang, and Robby T Tan · 2020
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Pose2Mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose
Hongsuk Choi, Gyeongsik Moon, and Kyoung Mu Lee · 2020
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Pytorch implementation of the neural mesh renderer, 2018
Nikos Kolotouros · 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
Cited alongside, same era.
Learning to estimate 3D human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
Cited alongside, same era.
How robust is 3d human pose estimation to occlusion?
István Sárándi, Timm Linder, Kai O Arras, and Bastian Leibe · 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 Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
Cited alongside, same era.
Deep 3d human pose estimation under partial body presence
Saeid Vosoughi and Maria A Amer · 2018
Cited alongside, same era.
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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Hierarchical kinematic human mesh recovery
Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, and Ziyan Wu · 2020
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Epipolar transformers
Yihui He, Rui Yan, Katerina Fragkiadaki, and Shoou-I Yu · 2020
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Coherent reconstruction of multiple humans from a single image
Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, and Kostas Daniilidis · 2020
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Exemplar fine-tuning for 3D human pose fitting towards in-the-wild 3D human pose estimation
Hanbyul Joo, Natalia Neverova, and Andrea Vedaldi · 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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3D human motion estimation via motion compression and refinement
Zhengyi Luo, S. Golestaneh, and Kris M. Kitani · 2020
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I2L-MeshNet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image
Gyeongsik Moon and Kyoung Mu Lee · 2020
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Full-body awareness from partial observations
Chris Rockwell and David F. Fouhey · 2020
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Synthetic training for accurate 3d human pose and shape estimation in the wild
Akash Sengupta, Ignas Budvytis, and Roberto Cipolla · 2020
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Human body model fitting by learned gradient descent
Jie Song, Xu Chen, and Otmar Hilliges · 2020
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3D pose detection in videos: Focusing on occlusion
Justin Wang, Edward Xu, Kangrui Xue, and Lukasz Kidzinski · 2020
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CenterHMR: a bottom-up single-shot method for multi-person 3d mesh recovery from a single image
Sun Yu, Bao Qian, Liu Wu, Fu Yili, and Mei Tao · 2020
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Weakly supervised 3d human pose and shape reconstruction with normalizing flows
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2020
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Object-occluded human shape and pose estimation from a single color image
Tianshu Zhang, Buzhen Huang, and Yangang Wang · 2020
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