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We propose a method to reconstruct global human trajectories from videos in the wild.
Statistical methods for tomographic image reconstruction
Stuart Geman and Donald E McClure · 1987
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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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Nonverbal communication in human interaction
Mark L Knapp, Judith A Hall, and Terrence G Horgan · 2013
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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
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Unite the people: Closing the loop between 3D and 2D human representations
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J Black, and Peter V Gehler · 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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Embodied hands: modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J Black · 2017
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PoseTrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, and Bernt Schiele · 2018
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
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SFV: Reinforcement learning of physical skills from videos
Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, and Sergey Levine · 2018
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Recovering accurate 3D human pose in the wild using IMUs and a moving camera
Timo Von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Deep network for the integrated 3D sensing of multiple people in natural images
Andrei Zanfir, Elisabeta Marinoiu, Mihai Zanfir, Alin-Ionut Popa, and Cristian Sminchisescu · 2018
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Exploiting temporal context for 3D human pose estimation in the wild
Anurag Arnab, Carl Doersch, and Andrew Zisserman · 2019
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HoloPose: Holistic 3D human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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Resolving 3D human pose ambiguities with 3D scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J. Black · 2019
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Resolving 3D human pose ambiguities with 3D scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J Black · 2019
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Learning 3D human dynamics from video
Angjoo Kanazawa, Jason Y Zhang, Panna Felsen, and Jitendra Malik · 2019
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Learning to reconstruct 3D human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Coherent reconstruction of multiple humans from a single image
Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, and Kostas Daniilidis · 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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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne · 2020
Cited alongside, same era.
3D human motion estimation via motion compression and refinement
Zhengyi Luo, S Alireza Golestaneh, and Kris M Kitani · 2020
Cited alongside, same era.
XNect: Real-time multi-person 3D motion capture with a single RGB camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, and Christian Theobalt · 2020
Cited alongside, same era.
You2me: Inferring body pose in egocentric video via first and second person interactions
Evonne Ng, Donglai Xiang, Hanbyul Joo, and Kristen Grauman · 2020
Cited alongside, same era.
STAR: Sparse trained articulated human body regressor
Ahmed AA Osman, Timo Bolkart, and Michael J Black · 2020
Cited alongside, same era.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
Monocular, one-stage, regression of multiple 3D people
Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J Black, and Tao Mei · 2021
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DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras
Zachary Teed and Jia Deng · 2021
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Physics-based human motion estimation and synthesis from videos
Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, and Florian Shkurti · 2021
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Human dynamics from monocular video with dynamic camera movements
Ri Yu, Hwangpil Park, and Jehee Lee · 2021
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SimPoE: Simulated character control for 3D human pose estimation
Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, and Jason Saragih · 2021
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PyMAF: 3D human pose and shape regression with pyramidal mesh alignment feedback loop
Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, and Zhenan Sun · 2021
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René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2020
Cited alongside, same era.
Contact and human dynamics from monocular video
Davis Rempe, Leonidas J Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang · 2020
Cited alongside, same era.
Full-body awareness from partial observations
Chris Rockwell and David F. Fouhey · 2020
Cited alongside, same era.
Human motion trajectory prediction: A survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, and Kai O Arras · 2020
Cited alongside, same era.
PhysCap: Physically plausible monocular 3D motion capture in real time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, and Christian Theobalt · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Perceiving 3D human-object spatial arrangements from a single image in the wild
Jason Y Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, and Angjoo Kanazawa · 2020
Cited alongside, same era.
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Body meshes as points
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, and Jiashi Feng · 2021
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EgoBody: Human body shape, motion and social interactions from head-mounted devices
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Marc Pollefeys, Federica Bogo, and Siyu Tang · 2021
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Learning motion priors for 4D human body capture in 3D scenes
Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, and Siyu Tang · 2021
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Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2022
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Trajectory optimization for physics-based reconstruction of 3D human pose from monocular video
Erik Gärtner, Mykhaylo Andriluka, Hongyi Xu, and Cristian Sminchisescu · 2022
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Ego4D: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al · 2022
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BodySLAM: Joint camera localisation, mapping, and human motion tracking
Dorian Henning, Tristan Laidlow, and Stefan Leutenegger · 2022
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D&D: Learning human dynamics from dynamic camera
Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, and Cewu Lu · 2022
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Exploring plain vision transformer backbones for object detection
Yanghao Li, Hanzi Mao, Ross Girshick, and Kaiming He · 2022
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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
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Human mesh recovery from multiple shots
Georgios Pavlakos, Jitendra Malik, and Angjoo Kanazawa · 2022
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The one where they reconstructed 3D humans and environments in TV shows
Georgios Pavlakos, Ethan Weber, Matthew Tancik, and Angjoo Kanazawa · 2022
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Tracking people by predicting 3D appearance, location and pose
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, and Jitendra Malik · 2022
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Smartmocap: Joint estimation of human and camera motion using uncalibrated rgb cameras, 2022
Nitin Saini, Chun-hao P. Huang, Michael J. Black, and Aamir Ahmad · 2022
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Putting people in their place: Monocular regression of 3D people in depth
Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, and Michael J Black · 2022
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Pose-NDF: Modeling human pose manifolds with neural distance fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll · 2022
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ViTPose: Simple vision transformer baselines for human pose estimation
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 2022
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GLAMR: Global occlusion-aware human mesh recovery with dynamic cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, and Jan Kautz · 2022
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