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We propose a CNN-based approach for 3D human body pose estimation from single RGB images that addresses the issue of limited generalizability of models trained solely on the starkly limited publicly available 3D pose data.
Pfinder: real-time tracking of the human body
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Monocular 3d tracking of the golf swing
R. Urtasun, D. J. Fleet, and P. Fua · 2005
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Recovering 3d human pose from monocular images
A. Agarwal and B. Triggs · 2006
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Recovering 3d human body configurations using shape contexts
G. Mori and J. Malik · 2006
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Detailed human shape and pose from images
A. O. Balan, L. Sigal, M. J. Black, J. E. Davis, and H. W. Haussecker · 2007
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Twin gaussian processes for structured prediction
L. Bo and C. Sminchisescu · 2010
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Optimization and filtering for human motion capture
J. Gall, B. Rosenhahn, T. Brox, 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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A survey on transfer learning
S. J. Pan and Q. Yang · 2010
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Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
L. Sigal, A. O. Balan, and M. J. Black · 2010
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A data-driven approach for real-time full body pose reconstruction from a depth camera
A. Baak, M. Müller, G. Bharaj, H.-P. Seidel, and C. Theobalt · 2011
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Fast articulated motion tracking using a sums of Gaussians body model
C. Stoll, N. Hasler, J. Gall, H.-P. Seidel, and C. Theobalt · 2011
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Articulated people detection and pose estimation: Reshaping the future
L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele · 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
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A Non-parametric Bayesian Network Prior of Human Pose
A. M. Lehrmann, P. V. Gehler, and S. Nowozin · 2013
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Modec: Multimodal decomposable models for human pose estimation
B. Sapp and B. Taskar · 2013
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Real-time human pose recognition in parts from single depth images
J. Shotton, T. Sharp, A. Kipman, A. Fitzgibbon, M. Finocchio, A. Blake, M. Cook, and R. Moore · 2013
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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
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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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Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. L. Yuille · 2014
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Iterated second-order label sensitive pooling for 3d human pose estimation
C. Ionescu, J. Carreira, and C. Sminchisescu · 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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Modeep: A deep learning framework using motion features for human pose estimation
A. Jain, J. Tompson, Y. LeCun, and C. Bregler · 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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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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MARCOnI - ConvNet-based MARker-less Motion Capture in Outdoor and Indoor Scenes
A. Elhayek, E. Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele, and C. Theobalt · 2016
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Chained predictions using convolutional neural networks
G. Gkioxari, A. Toshev, and N. Jaitly · 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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Bottom-up and top-down reasoning with hierarchical rectified gaussians
P. Hu, D. Ramanan, J. Jia, S. Wu, X. Wang, L. Cai, and J. Tang · 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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S. Li and A. B. Chan · 2014
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Posebits for monocular human pose estimation
G. Pons-Moll, D. J. Fleet, and B. Rosenhahn · 2014
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CNN features off-the-shelf: an astounding baseline for recognition
A. Sharif Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 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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Robust estimation of 3d human poses from a single image
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao · 2014
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How transferable are features in deep neural networks?
J. Yosinski, J. Clune, Y. Bengio, and H. Lipson · 2014
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Human pose estimation using deep consensus voting
I. Lifshitz, E. Fetaya, and S. Ullman · 2016
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Live intrinsic video
A. Meka, M. Zollhöfer, C. Richardt, and C. Theobalt · 2016
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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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EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
H. Rhodin, C. Richardt, D. Casas, E. Insafutdinov, M. Shafiei, H.-P. Seidel, B. Schiele, and C. Theobalt · 2016
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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
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Model-based Outdoor Performance Capture
N. Robertini, D. Casas, H. Rhodin, H.-P. Seidel, and C. Theobalt · 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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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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Direct Prediction of 3D Body Poses from Motion Compensated Sequences
B. Tekin, A. Rozantsev, V. Lepetit, and P. Fua · 2016
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http://www.thecaptury.com/ , 2016
The Captury · 2016
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Convolutional Pose Machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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A Dual-Source Approach for 3D Pose Estimation from a Single Image
H. Yasin, U. Iqbal, B. Krüger, A. Weber, and J. Gall · 2016
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Marker-less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
Y. Yu, F. Yonghao, Z. Yilin, and W. Mohan · 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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3d human pose estimation = 2d pose estimation + matching
C.-H. Chen and D. Ramanan · 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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Lcr-net: Localization-classification-regression for human pose
G. Rogez, P. Weinzaepfel, and C. Schmid · 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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