Fetching the paper…
Reading the bibliography…
Many human pose estimation methods estimate Skinned Multi-Person Linear (SMPL) models and regress the human joints from these SMPL estimates.
C. L. Lawson and R. J. Hanson, Solving least squares problems . SIAM, 1995
1995
Earlier work this paper cites.
C. Sminchisescu and A. C. Telea, “Human pose estimation from silhouettes. a consistent approach using distance level sets,” in 10th International Conference on Computer Graphics, Visualization and Computer Vision (WSCG’02) , vol. 10, 2002
2002
Earlier work this paper cites.
D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis, “Scape: shape completion and animation of people,” in ACM SIGGRAPH , 2005
2005
Earlier work this paper cites.
C. S. Catalin Ionescu, Fuxin Li, “Latent structured models for human pose estimation,” in International Conference on Computer Vision , 2011
2011
Earlier work this paper cites.
M. Dantone, J. Gall, C. Leistner, and L. Van Gool, “Human pose estimation using body parts dependent joint regressors,” in Conference on Computer Vision and Pattern Recognition , 2013
2013
Earlier work this paper cites.
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu, “Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 36, no. 7, pp. 1325–1339, 2013
2013
Earlier work this paper cites.
G. Gkioxari, B. Hariharan, R. Girshick, and J. Malik, “Using k-poselets for detecting people and localizing their keypoints,” in Conference on Computer Vision and Pattern Recognition , 2014
2014
Earlier work this paper cites.
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2D Human Pose Estimation: New Benchmark and State of the Art Analysis,” in Conference on Computer Vision and Pattern Recognition , 2014
2014
Earlier work this paper cites.
M. Loper, N. Mahmood, and M. J. Black, “MoSh: Motion and shape capture from sparse markers,” ACM Transactions on Graphics , vol. 33, no. 6, pp. 1–13, 2014
2014
Earlier work this paper cites.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in Neural Information Processing Systems , 2014
2014
Cited alongside, same era.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” International Conference on Learning Representations , 2014
2014
Cited alongside, same era.
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black, “SMPL: A skinned multi-person linear model,” ACM Transactions on Graphics , vol. 34, no. 6, pp. 1–16, 2015
2015
Cited alongside, same era.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” in International Conference on Computer Vision , 2017
2017
Cited alongside, same era.
D. Tome, C. Russell, and L. Agapito, “Lifting from the deep: Convolutional 3d pose estimation from a single image,” in Conference on Computer Vision and Pattern Recognition , 2017
N. Kolotouros, G. Pavlakos, M. J. Black, and K. Daniilidis, “Learning to reconstruct 3D human pose and shape via model-fitting in the loop,” in International Conference on Computer Vision Workshops , 2019
2019
Later among the works it cites.
G. Pavlakos, V. Choutas, N. Ghorbani, T. Bolkart, A. A. Osman, D. Tzionas, and M. J. Black, “Expressive body capture: 3d hands, face, and body from a single image,” in Conference on Computer Vision and Pattern Recognition Workshops , 2019
2019
Later among the works it cites.
——, “Expressive body capture: 3d hands, face, and body from a single image,” in Conference on Computer Vision and Pattern Recognition , 2019
2019
Later among the works it cites.
M. Kocabas, N. Athanasiou, and M. J. Black, “Vibe: Video inference for human body pose and shape estimation,” in Conference on Computer Vision and Pattern Recognition Workshops , 2020
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
A. Kanazawa, M. J. Black, D. W. Jacobs, and J. Malik, “End-to-end recovery of human shape and pose,” in Conference on Computer Vision and Pattern Recognition , 2018
2018
Cited alongside, same era.
T. von Marcard, R. Henschel, M. Black, B. Rosenhahn, and G. Pons-Moll, “Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera,” in European Conference on Computer Vision , 2018
2018
Cited alongside, same era.
H. Joo, T. Simon, and Y. Sheikh, “Total capture: A 3d deformation model for tracking faces, hands, and bodies,” in Conference on Computer Vision and Pattern Recognition Workshops , 2018
2018
Cited alongside, same era.
C. Zheng, W. Wu, T. Yang, S. Zhu, C. Chen, R. Liu, J. Shen, N. Kehtarnavaz, and M. Shah, “Deep learning-based human pose estimation: A survey,” arXiv Preprint , 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
Z. Luo, S. A. Golestaneh, and K. M. Kitani, “3d human motion estimation via motion compression and refinement,” 2020
2020
Later among the works it cites.
K. Lin, L. Wang, and Z. Liu, “End-to-end human pose and mesh reconstruction with transformers,” in Conference on Computer Vision and Pattern Recognition , 2021
2021
Later among the works it cites.