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We propose a method to generate multiple diverse and valid human pose hypotheses in 3D all consistent with the 2D detection of joints in a monocular RGB image.
Matching pursuits with time-frequency dictionaries
S. G. Mallat and Z. Zhang · 1993
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Cmu human motion capture database. availabel online at:, 2003
P. Doe · 2003
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Kinematic jump processes for monocular 3d human tracking
C. Sminchisescu and B. Triggs · 2003
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Proposal maps driven mcmc for estimating human body pose in static images
M. W. Lee and I. Cohen · 2004
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Tracking loose-limbed people
L. Sigal, S. Bhatia, S. Roth, M. J. Black, and M. Isard · 2004
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K-means++: The advantages of careful seeding
D. Arthur and S. Vassilvitskii · 2007
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Visualizing high-dimensional data using t-sne
L. van der Maaten and G. E. Hinton · 2008
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Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
L. Sigal, A. Balan, and M. J. Black · 2010
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N-best maximal decoders for part models
D. Park and D. Ramanan · 2011
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Outdoor human motion capture using inverse kinematics and von mises-fisher sampling
G. Pons-Moll, A. Baak, J. Gall, L. Leal-Taixé, M. Müller, H.-P. Seidel, and B. Rosenhahn · 2011
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Loose-limbed people: Estimating 3D human pose and motion using non-parametric belief propagation
L. Sigal, M. Isard, H. Haussecker, and M. J. Black · 2011
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Articulated pose estimation with flexible mixtures-of-parts
Y. Yang and D. Ramanan · 2011
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2d articulated human pose estimation and retrieval in (almost) unconstrained still images
M. Eichner, M. Marin-Jimenez, A. Zisserman, and V. Ferrari · 2012
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Reconstructing 3d human pose from 2d image landmarks
V. Ramakrishna, T. Kanade, and Y. Sheikh · 2012
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Single image 3d human pose estimation from noisy observations
E. Simo-Serra, A. Ramisa, G. Alenyà, C. Torras, and F. Moreno-Noguer · 2012
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Multi-view pictorial structures for 3d human pose estimation
S. Amin, M. Andriluka, M. Rohrbach, and B. Schiele · 2013
Cited alongside, same era.
3d pictorial structures for multiple view articulated pose estimation
M. Burenius, J. Sullivan, and S. Carlsson · 2013
Cited alongside, same era.
A non-parametric bayesian network prior of human pose
A. M. Lehrmann, P. V. Gehler, and S. Nowozin · 2013
Cited alongside, same era.
Modec: Multimodal decomposable models for human pose estimation
B. Sapp and B. Taskar · 2013
Cited alongside, same era.
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
Cited alongside, same era.
3d pictorial structures for multiple human pose estimation
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic · 2014
Cited alongside, same era.
3d shape estimation from 2d landmarks: A convex relaxation approach
X. Zhou, S. Leonardos, X. Hu, and K. Daniilidis · 2015
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3d pictorial structures revisited: Multiple human pose estimation
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic · 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
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Structured feature learning for pose estimation
X. Chu, W. Ouyang, H. Li, and X. Wang · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
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Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. L. Yuille · 2014
Cited alongside, same era.
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
Cited alongside, same era.
Posebits for monocular human pose estimation
G. Pons-Moll, D. J. Fleet, and B. Rosenhahn · 2014
Cited alongside, same era.
Joint training of a convolutional network and a graphical model for human pose estimation
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
Cited alongside, same era.
Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Cited alongside, same era.
Robust estimation of 3d human poses from a single image
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao · 2014
Cited alongside, same era.
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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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
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Mocap-guided data augmentation for 3d pose estimation in the wild
G. Rogez and C. Schmid · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Crf-cnn: Modeling structured information in human pose estimation
H. L. X. W. Xiao Chu, Wanli Ouyang · 2016
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End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
W. Yang, W. Ouyang, H. Li, and X. Wang · 2016
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Sparseness meets deepness: 3d human pose estimation from monocular video
X. Zhou, M. Zhu, S. Leonardos, K. G. Derpanis, and K. Daniilidis · 2016
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Lcr-net: Localization-classification-regression for human pose
G. Rogez, P. Weinzaepfel, and C. Schmid · 2017
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