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We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full 3D mesh of a human body from a single RGB image.
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C. Taylor · 2000
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C. Barron and I. Kakadiaris · 2001
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View independent human body pose estimation from a single perspective image
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P. Guan, A. Weiss, A. Balan, and M. J. Black · 2009
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Cascaded pose regression
P. Dollár, P. Welinder, and P. Perona · 2010
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Multilinear pose and body shape estimation of dressed subjects from image sets
N. Hasler, H. Ackermann, B. Rosenhahn, T. Thormählen, and H. P. Seidel · 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. Balan, and M. J. Black · 2010
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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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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 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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Microsoft coco: Common objects in context
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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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Pose-conditioned joint angle limits for 3D human pose reconstruction
I. Akhter and M. J. Black · 2015
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Picture: A probabilistic programming language for scene perception
T. D. Kulkarni, P. Kohli, J. B. Tenenbaum, and V. Mansinghka · 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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Training a feedback loop for hand pose estimation
M. Oberweger, P. Wohlhart, and V. Lepetit · 2015
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Viewpoints and keypoints
S. Tulsiani and J. Malik · 2015
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Sparse representation for 3D shape estimation: A convex relaxation approach
X. Zhou, M. Zhu, S. Leonardos, K. Derpanis, 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 · 2016
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Densereg: Fully convolutional dense shape regression in-the-wild
R. A. Güler, G. Trigeorgis, E. Antonakos, P. Snape, S. Zafeiriou, 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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Vnect: Real-time 3d human pose estimation with a single rgb camera
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Tensorflow: A system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al · 2016
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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 with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Least squares generative adversarial networks, 2016
X. Mao, Q. Li, H. Xie, R. Y. K. Lau, Z. Wang, and S. P. Smolley · 2016
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3d human pose estimation from a single image via distance matrix regression
F. Moreno-Noguer · 2016
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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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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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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 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. Marquez 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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Self-supervised learning of motion capture
H.-Y. Tung, H.-W. Tung, E. Yumer, and K. Fragkiadaki · 2017
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Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
H.-Y. F. Tung, A. W. Harley, W. Seto, 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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Weakly-supervised transfer for 3d human pose estimation in the wild
X. Zhou, Q. Huang, X. Sun, X. Xue, and Y. Wei · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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