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We propose a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera.
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
C. J. Taylor · 2000
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Kinematic jump processes for monocular 3d human tracking
C. Sminchisescu and B. Triggs · 2003
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Pictorial structures revisited: People detection and articulated pose estimation
M. Andriluka, S. Roth, and B. Schiele · 2009
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Twin gaussian processes for structured prediction
L. Bo and C. Sminchisescu · 2010
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Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
L. Sigal, A. O. Balan, and M. J. Black · 2010
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Articulated part-based model for joint object detection and pose estimation
M. Sun and S. Savarese · 2011
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Articulated people detection and pose estimation: Reshaping the future
L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele · 2012
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A joint model for 2d and 3d pose estimation from a single image
E. Simo-Serra, A. Quattoni, C. Torras, and F. Moreno-Noguer · 2013
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2D Human Pose Estimation: New Benchmark and State of the Art Analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
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Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. L. Yuille · 2014
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Using k-poselets for detecting people and localizing their keypoints
G. Gkioxari, B. Hariharan, R. Girshick, and J. Malik · 2014
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Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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3d human pose estimation from monocular images with deep convolutional neural network
S. Li and A. B. Chan · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Posebits for monocular human pose estimation
G. Pons-Moll, D. J. Fleet, and B. Rosenhahn · 2014
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Pose-conditioned joint angle limits for 3d human pose reconstruction
I. Akhter and M. J. Black · 2015
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Panoptic studio: A massively multiview system for social motion capture
H. Joo, H. Liu, L. Tan, L. Gui, B. Nabbe, I. Matthews, T. Kanade, S. Nobuhara, and Y. Sheikh · 2015
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Maximum-margin structured learning with deep networks for 3d human pose estimation
S. Li, W. Zhang, and A. B. Chan · 2015
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SMPL: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
X. Zhou, M. Zhu, S. Leonardos, K. Derpanis, and K. Daniilidis · 2015
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
F. Bogo, A. Kanazawa, C. Lassner, P. Gehler, J. Romero, and M. J. Black · 2016
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Human pose estimation via convolutional part heatmap regression
A. Bulat and G. Tzimiropoulos · 2016
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Synthesizing training images for boosting human 3d pose estimation
W. Chen, H. Wang, Y. Li, H. Su, Z. Wang, C. Tu, D. Lischinski, D. Cohen-Or, and B. Chen · 2016
Cited alongside, same era.
MARCOnI - ConvNet-based MARker-less Motion Capture in Outdoor and Indoor Scenes
A. Elhayek, E. Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele, and C. Theobalt · 2016
Cited alongside, same era.
Vnect: Real-time 3d human pose estimation with a single rgb camera
D. Mehta, S. Sridhar, O. Sotnychenko, H. Rhodin, M. Shafiei, H.-P. Seidel, W. Xu, D. Casas, and C. Theobalt · 2017
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3d human pose estimation from a single image via distance matrix regression
F. Moreno-Noguer · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
A. Newell and J. Deng · 2017
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Monocular 3d human pose estimation by predicting depth on joints
B. X. Nie, P. Wei, and S.-C. Zhu · 2017
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Towards accurate multi-person pose estimation in the wild
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy · 2017
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Coarse-to-fine volumetric prediction for single-image 3D human pose
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
Cited alongside, same era.
Multi-person pose estimation with local joint-to-person associations
U. Iqbal and J. Gall · 2016
Cited alongside, same era.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
Deepcut: Joint subset partition and labeling for multi person pose estimation
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. Gehler, and B. Schiele · 2016
Cited alongside, same era.
Mocap-guided data augmentation for 3d pose estimation in the wild
G. Rogez and C. Schmid · 2016
Cited alongside, same era.
3d human pose estimation: A review of the literature and analysis of covariates
N. Sarafianos, B. Boteanu, B. Ionescu, and I. A. Kakadiaris · 2016
Cited alongside, same era.
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis · 2017
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Deep multitask architecture for integrated 2d and 3d human sensing
A.-I. Popa, M. Zanfir, and C. Sminchisescu · 2017
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Lcr-net: Localization-classification-regression for human pose
G. Rogez, P. Weinzaepfel, and C. Schmid · 2017
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Hand keypoint detection in single images using multiview bootstrapping
T. Simon, H. Joo, I. Matthews, and Y. Sheikh · 2017
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Compositional human pose regression
X. Sun, J. Shang, S. Liang, and Y. Wei · 2017
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Indirect deep structured learning for 3d human body shape and pose prediction
J. K. V. Tan, I. Budvytis, and R. Cipolla · 2017
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Learning to fuse 2d and 3d image cues for monocular body pose estimation
B. Tekin, P. Márquez-Neila, M. Salzmann, and P. Fua · 2017
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Lifting from the deep: Convolutional 3d pose estimation from a single image
D. Tome, C. Russell, and L. Agapito · 2017
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Total capture: 3d human pose estimation fusing video and inertial sensors
M. Trumble, A. Gilbert, C. Malleson, A. Hilton, and J. Collomosse · 2017
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Towards 3d human pose estimation in the wild: A weakly-supervised approach
X. Zhou, Q. Huang, X. Sun, X. Xue, and Y. Wei · 2017
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Video based reconstruction of 3d people models
T. Alldieck, M. Magnor, W. Xu, C. Theobalt, and G. Pons-Moll · 2018
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End-to-end recovery of human shape and pose
A. Kanazawa, M. J. Black, D. W. Jacobs, and J. Malik · 2018
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2d/3d pose estimation and action recognition using multitask deep learning
D. C. Luvizon, D. Picard, and H. Tabia · 2018
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Neural body fitting: Unifying deep learning and model based human pose and shape estimation
M. Omran, C. Lassner, G. Pons-Moll, P. Gehler, and B. Schiele · 2018
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Learning to estimate 3D human pose and shape from a single color image
G. Pavlakos, L. Zhu, X. Zhou, and K. Daniilidis · 2018
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3d human pose estimation in the wild by adversarial learning
W. Yang, W. Ouyang, X. Wang, J. Ren, H. Li, and X. Wang · 2018
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Monocular 3d pose and shape estimation of multiple people in natural scenes–the importance of multiple scene constraints
A. Zanfir, E. Marinoiu, and C. Sminchisescu · 2018
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