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This work addresses the problem of estimating the full body 3D human pose and shape from a single color image.
Model-based vision: a program to see a walking person
D. Hogg · 1983
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Statistical methods for tomographic image reconstruction
S. Geman and D. McClure · 1987
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Civilian american and european surface anthropometry resource (caesar), final report
K. M. Robinette, S. Blackwell, H. Daanen, M. Boehmer, and S. Fleming · 2002
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SCAPE: shape completion and animation of people
D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis · 2005
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Detailed human shape and pose from images
A. O. Bălan, L. Sigal, M. J. Black, J. E. Davis, and H. W. Haussecker · 2007
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Combined discriminative and generative articulated pose and non-rigid shape estimation
L. Sigal, A. Balan, and M. J. Black · 2008
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Estimating human shape and pose from a single image
P. Guan, A. Weiss, A. O. Bălan, and M. J. Black · 2009
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Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Home 3D body scans from noisy image and range data
A. Weiss, D. Hirshberg, and M. J. Black · 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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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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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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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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OpenDR: An approximate differentiable renderer
M. M. Loper and M. J. Black · 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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Pose-conditioned joint angle limits for 3D human pose reconstruction
I. Akhter and M. J. Black · 2015
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A compact formula for the derivative of a 3-D rotation in exponential coordinates
G. Gallego and A. Yezzi · 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
Cited alongside, same era.
Flowing convnets for human pose estimation in videos
T. Pfister, J. Charles, and A. Zisserman · 2015
Cited alongside, same era.
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
Cited alongside, same era.
HS-Nets: Estimating human body shape from silhouettes with convolutional neural networks
E. Dibra, H. Jain, C. Öztireli, R. Ziegler, and M. Gross · 2016
Cited alongside, same era.
Shape from selfies: Human body shape estimation using cca regression forests
E. Dibra, C. Öztireli, R. Ziegler, and M. Gross · 2016
Cited alongside, same era.
UberNet: Training a ‘universal’ convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
A simple yet effective baseline for 3D human pose estimation
J. Martinez, R. Hossain, J. Romero, and J. J. Little · 2017
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Monocular 3D human pose estimation in the wild using improved CNN supervision
D. Mehta, H. Rhodin, D. Casas, O. Sotnychenko, W. Xu, 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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Coarse-to-fine volumetric prediction for single-image 3D human pose
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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Octnet: Learning deep 3D representations at high resolutions
G. Riegler, A. O. Ulusoys, and A. Geiger · 2017
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I. Kokkinos · 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. V. Gehler, and B. Schiele · 2016
Cited alongside, same era.
General automatic human shape and motion capture using volumetric contour cues
H. Rhodin, N. Robertini, D. Casas, C. Richardt, H.-P. Seidel, and C. Theobalt · 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.
Structured prediction of 3D human pose with deep neural networks
B. Tekin, I. Katircioglu, M. Salzmann, V. Lepetit, and P. Fua · 2016
Cited alongside, same era.
Sparse representation for 3D shape estimation: A convex relaxation approach
X. Zhou, M. Zhu, S. Leonardos, and K. Daniilidis · 2016
Cited alongside, same era.
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LCR-Net: Localization-classification-regression for human pose
G. Rogez, P. Weinzaepfel, and C. Schmid · 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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Octree generating networks: Efficient convolutional architectures for high-resolution 3D outputs
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
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Learning to fuse 2D and 3D image cues for monocular body pose estimation
B. Tekin, P. Marquez Neila, M. Salzmann, and P. Fua · 2017
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MoFA: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction
A. Tewari, M. Zollhöfer, H. Kim, P. Garrido, F. Bernard, P. Pérez, and C. Theobalt · 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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Self-supervised learning of motion capture
H.-Y. Tung, H.-W. Tung, E. Yumer, and K. Fragkiadaki · 2017
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Learning from synthetic humans
G. Varol, J. Romero, X. Martin, N. Mahmood, M. Black, I. Laptev, and C. Schmid · 2017
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Sparse inertial poser: Automatic 3D human pose estimation from sparse imus
T. von Marcard, B. Rosenhahn, M. Black, and G. Pons-Moll · 2017
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MonoPerfCap: Human performance capture from monocular video
W. Xu, A. Chatterjee, M. Zollhöfer, H. Rhodin, D. Mehta, H.-P. Seidel, and C. Theobalt · 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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