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Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.
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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Faust: Dataset and evaluation for 3d mesh registration
F. Bogo, J. Romero, M. Loper, and M. J. Black · 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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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Mosh: Motion and shape capture from sparse markers
M. Loper, N. Mahmood, and M. J. Black · 2014
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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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Understanding deep image representations by inverting them
A. Mahendran and A. Vedaldi · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
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Face alignment across large poses: A 3d solution
X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li · 2016
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Dynamic faust: Registering human bodies in motion
F. Bogo, J. Romero, G. Pons-Moll, and M. J. Black · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Large pose 3d face reconstruction from a single image via direct volumetric cnn regression
A. S. Jackson, A. Bulat, V. Argyriou, G. Tzimiropoulos, A. S. Jackson, A. Bulat, V. Argyriou, and G. Tzimiropoulos · 2017
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Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation
S. Kinauer, R. A. Güler, S. Chandra, and I. Kokkinos · 2017
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Unite the people: Closing the loop between 3d and 2d human representations
C. Lassner, J. Romero, M. Kiefel, F. Bogo, M. J. Black, and P. V. Gehler · 2017
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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, P. Fua, O. Sotnychenko, W. Xu, and C. Theobalt · 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. J. Black, I. Laptev, and C. Schmid · 2017
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O-cnn: Octree-based convolutional neural networks for 3d shape analysis
P.-S. Wang, Y. Liu, Y.-X. Guo, C.-Y. Sun, and X. Tong · 2017
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Densepose: Dense human pose estimation in the wild
R. Alp Güler, N. Neverova, and I. Kokkinos · 2018
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Synthesizing images of humans in unseen poses
G. Balakrishnan, A. Zhao, A. V. Dalca, F. Durand, and J. Guttag · 2018
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Learning pose grammar to encode human body configuration for 3d pose estimation
H.-S. Fang, Y. Xu, W. Wang, X. Liu, and S.-C. Zhu · 2018
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A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 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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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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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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Octnetfusion: Learning depth fusion from data
G. Riegler, A. O. Ulusoy, H. Bischof, and A. Geiger · 2017
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Lcr-net: Localization-classification-regression for human pose
G. Rogez, P. Weinzaepfel, and C. Schmid · 2017
Cited alongside, same era.
Compositional human pose regression
X. Sun, J. Shang, S. Liang, and Y. Wei · 2017
Cited alongside, same era.
Joint 3d face reconstruction and dense alignment with position map regression network
Y. Feng, F. Wu, X. Shao, Y. Wang, and X. Zhou · 2018
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3d human body reconstruction from a single image via volumetric regression
A. S. Jackson, C. Manafas, and G. Tzimiropoulos · 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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Dense pose transfer
N. Neverova, R. Alp Guler, and I. Kokkinos · 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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Ordinal depth supervision for 3d human pose estimation
G. Pavlakos, X. Zhou, and K. Daniilidis · 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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Bodynet: Volumetric inference of 3d human body shapes
G. Varol, D. Ceylan, B. Russell, J. Yang, E. Yumer, I. Laptev, and C. Schmid · 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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Lcr-net++: Multi-person 2d and 3d pose detection in natural images
G. Rogez, P. Weinzaepfel, and C. Schmid · 2019
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