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Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy.
Mixture density estimation
Jonathan Li and Andrew Barron · 1999
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The vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation
Jonathan Taylor, Jamie Shotton, Toby Sharp, and Andrew Fitzgibbon · 2012
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Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Adam: A method for stochastic optimization
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Srinath Sridhar, Anna Maria Feit, Christian Theobalt, and Antti Oulasvirta · 2015
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3d human pose estimation using convolutional neural networks with 2d pose information
Sungheon Park, Jihye Hwang, and Nojun Kwak · 2016
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Spatio-temporal lstm with trust gates for 3d human action recognition
Jun Liu, Amir Shahroudy, Dong Xu, and Gang Wang · 2016
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A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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Coarse-to-fine volumetric prediction for single-image 3d human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
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A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
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Coarse-to-fine volumetric prediction for single-image 3d human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Exploiting temporal information for 3d human pose estimation
Mir Rayat Imtiaz Hossain and James J Little · 2018
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Integral human pose regression
Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, and Yichen Wei · 2018
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3d human pose estimation in the wild by adversarial learning
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, and Xiaogang Wang · 2018
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks
Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann · 2019
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Grasping objects in immersive virtual reality
Manuela Chessa, Guido Maiello, Lina K Klein, Vivian C Paulun, and Fabio Solari · 2019
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Optimizing network structure for 3d human pose estimation
Hai Ci, Chunyu Wang, Xiaoxuan Ma, and Yizhou Wang · 2019
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Generating multiple hypotheses for 3d human pose estimation with mixture density network
Chen Li and Gim Hee Lee · 2019
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Trajectory space factorization for deep video-based 3d human pose estimation
Jiahao Lin and Gim Hee Lee · 2019
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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Monocular 3d human pose estimation by generation and ordinal ranking
Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, and Arjun Jain · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Semantic graph convolutional networks for 3d human pose regression
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris N. Metaxas · 2019
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Semantic graph convolutional networks for 3d human pose regression
Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Improving robustness and accuracy via relative information encoding in 3d human pose estimation
Wenkang Shan, Haopeng Lu, Shanshe Wang, Xinfeng Zhang, and Wen Gao · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Graph stacked hourglass networks for 3d human pose estimation
Tianhan Xu and Wataru Takano · 2021
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3d human pose estimation with spatial and temporal transformers
Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, and Zhengming Ding · 2021
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Skip-convolutions for efficient video processing
Amirhossein Habibian, Davide Abati, Taco S Cohen, and Babak Ehteshami Bejnordi · 2021
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Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris N Metaxas · 2019
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Trajectory space factorization for deep video-based 3d human pose estimation
Jiahao Lin and Gim Hee Lee · 2019
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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Two-stream adaptive graph convolutional networks for skeleton-based action recognition
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Liteeval: A coarse-to-fine framework for resource efficient video recognition
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Adaptive computationally efficient network for monocular 3d hand pose estimation
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Denoising diffusion probabilistic models
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3d human pose estimation with spatial and temporal transformers
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