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The estimation of 3D human motion from video has progressed rapidly but current methods still have several key limitations.
Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J. Black · 2016
Earlier work this paper cites.
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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh · 2019
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Holopose: Holistic 3d human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose
Hongsuk Choi, Gyeongsik Moon, and Kyoung Mu Lee · 2020
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VIBE: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
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3d human motion estimation via motion compression and refinement
Zhengyi Luo, S. Alireza Golestaneh, and Kris M. Kitani · 2020
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I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image
Gyeongsik Moon and Kyoung Mu Lee · 2020
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STAR: Sparse trained articulated human body regressor
Ahmed A. A. Osman, Timo Bolkart, and Michael J. Black · 2020
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GHUM & GHUML: generative 3D human shape and articulated pose models
Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2020
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Distribution-aware coordinate representation for human pose estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, and Ce Zhu · 2020
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Beyond static features for temporally consistent 3d human pose and shape from a video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2021
Cited alongside, same era.
Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, and Cewu Lu · 2021
Cited alongside, same era.
4d human body capture from egocentric video via 3d scene grounding
Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M Rehg, and Siyu Tang · 2021
Cited alongside, same era.
Humor: 3d human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J. Guibas · 2021
Cited alongside, same era.
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed and Jia Deng · 2021
Cited alongside, same era.
SMPLer-X: Scaling up expressive human pose and shape estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng, Chen Wei, Qingping Sun, Yanjun Wang, Hui En Pang, Haiyi Mei, Mingyuan Zhang, Lei Zhang, Chen Change Loy, Lei Yang, and Ziwei Liu · 2023
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Humans in 4D: Reconstructing and tracking humans with transformers
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, and Jitendra Malik · 2023
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Bodyslam++: Fast and tightly-coupled visual-inertial camera and human motion tracking, 2023
Dorian F. Henning, Christopher Choi, Simon Schaefer, and Stefan Leutenegger · 2023
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EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
Manuel Kaufmann, Jie Song, Chen Guo, Kaiyue Shen, Tianjian Jiang, Chengcheng Tang, Juan José Zárate, and Otmar Hilliges · 2023
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NIKI: Neural inverse kinematics with invertible neural networks for 3d human pose and shape estimation
Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, and Cewu Lu · 2023
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Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, and Hongsheng Li · 2021
Cited alongside, same era.
Transpose: Real-time 3d human translation and pose estimation with six inertial sensors
Xinyu Yi, Yuxiao Zhou, and Feng Xu · 2021
Cited alongside, same era.
Capturing and inferring dense full-body human-scene contact
Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, and Michael J. Black · 2022
Cited alongside, same era.
Cliff: Carrying location information in full frames into human pose and shape estimation
Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, and Youliang Yan · 2022
Cited alongside, same era.
Neuralannot: Neural annotator for 3d human mesh training sets
Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee · 2022
Cited alongside, same era.
Zachary Teed, Lahav Lipson, and Jia Deng · 2022
Cited alongside, same era.
Capturing humans in motion: Temporal-attentive 3d human pose and shape estimation from monocular video
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao · 2022
Cited alongside, same era.
Closest in time.
3d human mesh estimation from virtual markers
Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Wentao Zhu, and Yizhou Wang · 2023
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Three recipes for better 3d pseudo-gts of 3d human mesh estimation in the wild
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, and Sangdoo Yun · 2023
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Smartmocap: Joint estimation of human and camera motion using uncalibrated rgb cameras
Nitin Saini, Chun-Hao P. Huang, Michael J. Black, and Aamir Ahmad · 2023
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Glopro: Globally-consistent uncertainty-aware 3d human pose estimation & tracking in the wild, 2023
Simon Schaefer, Dorian F. Henning, and Stefan Leutenegger · 2023
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Global-to-local modeling for video-based 3d human pose and shape estimation
Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, and Yi Yang · 2023
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Markerless motion tracking with noisy video and imu data
Soyong Shin, Zhixiong Li, and Eni Halilaj · 2023
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TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Yu Sun, Qian Bao, Wu Liu, Tao Mei, and Michael J. Black · 2023
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Refit: Recurrent fitting network for 3d human recovery
Yufu Wang and Kostas Daniilidis · 2023
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Decoupling human and camera motion from videos in the wild
Vickie Ye, Georgios Pavlakos, Jitendra Malik, and Angjoo Kanazawa · 2023
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Motionbert: A unified perspective on learning human motion representations
Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, Libin Liu, Wayne Wu, and Yizhou Wang · 2023
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Pace: Human and motion estimation from in-the-wild videos
Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, and Umar Iqbal · 2024
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