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We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.
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G. Mori and J. Malik · 2006
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Gaussian process latent variable models for human pose estimation
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Computing smooth time trajectories for camera and deformable shape in structure from motion with occlusion
P. Gotardo and A. Martinez · 2011
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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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Learning human pose estimation features with convolutional networks
A. Jain, J. Tompson, M. Andriluka, G. W. Taylor, and C. Bregler · 2013
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Learning a manifold as an atlas
N. Pitelis, C. Russell, and L. Agapito · 2013
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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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Pose locality constrained representation for 3d human pose reconstruction
X. Fan, K. Zheng, Y. Zhou, and S. Wang · 2014
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Flowing convnets for human pose estimation in videos
T. Pfister, J. Charles, and A. Zisserman · 2015
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Predicting people’s 3d poses from short sequences
B. Tekin, X. Sun, X. Wang, V. Lepetit, and P. Fua · 2015
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Sparse representation for 3d shape estimation: A convex relaxation approach
X. Zhou, M. Zhu, S. Leonardos, and K. Daniilidis · 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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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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Pose machines: Articulated pose estimation via inference machines
V. Ramakrishna, D. Munoz, M. Hebert, J. A. Bagnell, and Y. Sheikh · 2014
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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
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Representing data by a mixture of activated simplices
C. Wang, J. Flynn, Y. Wang, and A. L. Yuille · 2014
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Complex non-rigid 3d shape recovery using a procrustean normal distribution mixture model
J. Cho, M. Lee, and S. Oh · 2016
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Procrustean normal distribution for non-rigid structure from motion
M. Lee, J. Cho, and S. Oh · 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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Bayesian image based 3d pose estimation
M. Sanzari, V. Ntouskos, and F. Pirri · 2016
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Structured prediction of 3d human pose with deep neural networks
B. Tekin, I. Katircioglu, M. Salzmann, V. Lepetit, and P. Fua · 2016
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Fusing 2d uncertainty and 3d cues for monocular body pose estimation
B. Tekin, P. Márquez-Neila, M. Salzmann, and P. Fua · 2016
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S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Single image 3d interpreter network
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman · 2016
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A dual-source approach for 3d pose estimation from a single image
H. Yasin, U. Iqbal, B. Kruger, A. Weber, and J. Gall · 2016
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A simple, fast and highly-accurate algorithm to recover 3d shape from 2d landmarks on a single image
R. Zhao, Y. Wang, and A. Martinez · 2016
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Deep kinematic pose regression
X. Zhou, X. Sun, W. Zhang, S. Liang, and Y. Wei · 2016
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