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This paper presents a deep learning based approach to the problem of human pose estimation.
A discriminatively trained, multiscale, deformable part model
P. F. Felzenszwalb, D. A. McAllester, and D. Ramanan · 2008
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Pictorial structures revisited: People detection and articulated pose estimation
M. Andriluka, S. Roth, and B. Schiele · 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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Articulated pose estimation with flexible mixtures-of-parts
Y. Yang and D. Ramanan · 2011
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Human pose estimation using body parts dependent joint regressors
M. Dantone, J. Gall, C. Leistner, and L. J. V. Gool · 2013
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Human pose estimation using a joint pixel-wise and part-wise formulation
L. Ladicky, P. H. S. Torr, and A. Zisserman · 2013
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Strong appearance and expressive spatial models for human pose estimation
L. Pishchulin, M. Andriluka, P. V. Gehler, and B. Schiele · 2013
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. V. 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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Generative adversarial networks
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. C. Courville, and Y. Bengio · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 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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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Efficient object localization using convolutional networks
J. Tompson, R. Goroshin, A. Jain, Y. LeCun, and C. Bregler · 2015
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Recurrent human pose estimation
V. Belagiannis and A. Zisserman · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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Context encoders: Feature learning by inpainting
D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, and A. A. Efros · 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. V. Gehler, and B. Schiele · 2016
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An efficient convolutional network for human pose estimation
U. Rafi, B. Leibe, J. Gall, and I. Kostrikov · 2016
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S. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Later among the works it cites.
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Human pose estimation via convolutional part heatmap regression
A. Bulat and G. Tzimiropoulos · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S. Wei, and Y. Sheikh · 2016
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Chained predictions using convolutional neural networks
G. Gkioxari, A. Toshev, and N. Jaitly · 2016
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Bottom-up and top-down reasoning with hierarchical rectified gaussians
P. Hu and D. Ramanan · 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
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. P. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2016
Cited alongside, same era.
End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
W. Yang, W. Ouyang, H. Li, and X. Wang · 2016
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Energy-based generative adversarial network
J. J. Zhao, M. Mathieu, and Y. LeCun · 2016
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M. Arjovsky, S. Chintala, and L. Bottou · 2017
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BEGAN: boundary equilibrium generative adversarial networks
D. Berthelot, T. Schumm, and L. Metz · 2017
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Adversarial posenet: A structure-aware convolutional network for human pose estimation
Y. Chen, C. Shen, X. Wei, L. Liu, and J. Yang · 2017
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Multi-context attention for human pose estimation
X. Chu, W. Yang, W. Ouyang, C. Ma, A. L. Yuille, and X. Wang · 2017
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Look into person: Self-supervised structure-sensitive learning and A new benchmark for human parsing
K. Gong, X. Liang, X. Shen, and L. Lin · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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Salgan: Visual saliency prediction with generative adversarial networks
J. Pan, C. Canton-Ferrer, K. McGuinness, N. E. O’Connor, J. Torres, E. Sayrol, and X. Giró i Nieto · 2017
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