Fetching the paper…
Reading the bibliography…
Differently from 2D image datasets such as COCO, large-scale human datasets with 3D ground-truth annotations are very difficult to obtain in the wild.
Scape: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
Earlier work this paper cites.
Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan, and Michael J. Black · 2008
Earlier work this paper cites.
Estimating human shape and pose from a single image
P. Guan, A. Weiss, A. O. Balan, and M. J. Black · 2009
Earlier work this paper cites.
Clustered pose and nonlinear appearance models for human pose estimation
Sam Johnson and Mark Everingham · 2010
Earlier work this paper cites.
Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O Balan, and Michael J Black · 2010
Earlier work this paper cites.
Latent structured models for human pose estimation
Catalin Ionescu, Fuxin Li, and Cristian Sminchisescu · 2011
Earlier work this paper cites.
Learning effective human pose estimation from inaccurate annotation
Sam Johnson and Mark Everingham · 2011
Earlier work this paper cites.
Reconstructing 3d human pose from 2d image landmarks
Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2012
Earlier work this paper cites.
From actemes to action: A strongly-supervised representation for detailed action understanding
Weiyu Zhang, Menglong Zhu, and Konstantinos G Derpanis · 2013
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
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
Earlier work this paper cites.
Pose-conditioned joint angle limits for 3d human pose reconstruction
Ijaz Akhter and Michael J Black · 2015
Earlier work this paper cites.
Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Earlier work this paper cites.
Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
Earlier work this paper cites.
Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
Earlier work this paper cites.
Panoptic studio: A massively multiview system for social interaction capture
Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, et al · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
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.
Indirect deep structured learning for 3D human body shape and pose prediction
V. Tan, I. Budvytis, and R. Cipolla · 2017
Cited alongside, same era.
Self-supervised learning of motion capture
Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, and Katerina Fragkiadaki · 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.
PoseTrack: A benchmark for human pose estimation and tracking
M. Andriluka, U. Iqbal, E. Ensafutdinov, L. Pishchulin, A. Milan, J. Gall, and Schiele B · 2018
Cited alongside, same era.
OpenPose: realtime multi-person 3D pose estimation using Part Affinity Fields
Panoptic segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
Later among the works it cites.
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
Later among the works it cites.
Convolutional mesh regression for single-image human shape reconstruction
Nikos Kolotouros, Georgios Pavlakos, and Kostas Daniilidis · 2019
Later among the works it cites.
Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
Later among the works it cites.
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
Later among the works it cites.
Delving deep into hybrid annotations for 3d human recovery in the wild
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2018
Cited alongside, same era.
Densepose: Dense human pose estimation in the wild
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
Cited alongside, same era.
Total capture: A 3d deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 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.
Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, and Christian Theobalt · 2018
Cited alongside, same era.
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.
Ordinal depth supervision for 3D human pose estimation
Georgios Pavlakos, Xiaowei Zhou, and Kostas Daniilidis · 2018
Cited alongside, same era.
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, and Chen Change Loy · 2019
Later among the works it cites.
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
Later among the works it cites.
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
Later among the works it cites.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
Later among the works it cites.
Monocular total capture: Posing face, body, and hands in the wild
Donglai Xiang, Hanbyul Joo, and Yaser Sheikh · 2019
Later among the works it cites.
Denserac: Joint 3d pose and shape estimation by dense render-and-compare
Yuanlu Xu, Song-Chun Zhu, and Tony Tung · 2019
Later among the works it cites.
An internal learning approach to video inpainting
Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, and John P. Collomosse · 2019
Later among the works it cites.
Pose2seg: Detection free human instance segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, and Shi-Min Hu · 2019
Later among the works it cites.
Three-d safari: Learning to estimate zebra pose, shape, and texture from images ”in the wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael J. Black · 2019
Later among the works it cites.
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
Closest in time.
Monocular expressive body regression through body-driven attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, and Michael J. Black · 2020
Closest in time.
Monocular expressive body regression through body-driven attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, and Michael J. Black · 2020
Closest in time.
Matheus Gadelha, Rui Wang, and Subhransu Maji · 2020
Closest in time.
Pointrend: Image segmentation as rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 2020
Closest in time.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 2020
Closest in time.
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
Closest in time.
STAR: A spare trained articulated human body regressor
Ahmed A A Osman, Timo Bolkart, and Michael J. Black · 2020
Closest in time.
Full-body awareness from partial observations
Chris Rockwell and David F. Fouhey · 2020
Closest in time.
Human body model fitting by learned gradient descent
Jie Song, Xu Chen, and Otmar Hilliges · 2020
Closest in time.