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In this work, we consider the problem of estimating the 3D position of multiple humans in a scene as well as their body shape and articulation from a single RGB video recorded with a static camera.
1euro filter: a simple speed-based low-pass filter for noisy input in interactive systems
Géry Casiez, Nicolas Roussel, and Daniel Vogel · 2012
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Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
Geoffrey Hinton, Nitish Srivastava, and Kevin Swersky · 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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Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
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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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Structured Prediction of 3D Human Pose with Deep Neural Networks
Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, and Pascal Fua · 2016
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Deep kinematic pose regression
Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, and Yichen Wei · 2016
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3D Human Pose Estimation = 2D Pose Estimation + Matching
Ching-Hang Chen and Deva Ramanan · 2017
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RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 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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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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Vnect: Real-time 3d human pose estimation with a single rgb camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, 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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LCR-Net: Localization-Classification-Regression for Human Pose
Gregory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2017
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Compositional Human Pose Regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
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Towards 3d human pose estimation in the wild: a weakly-supervised approach
Xingyi Zhou, Qixing Huang, Xiao Sun, Xiangyang Xue, and Yichen Wei · 2017
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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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Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, and Christian Theobalt · 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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Monoperfcap: Human performance capture from monocular video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, and Christian Theobalt · 2018
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Monocular 3d pose and shape estimation of multiple people in natural scenes-the importance of multiple scene constraints
Andrei Zanfir, Elisabeta Marinoiu, and Cristian Sminchisescu · 2018
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Gravity as a reference for estimating a person’s height from video
Didier Bieler, Semih Gunel, Pascal Fua, and Helge Rhodin · 2019
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Holistic++ scene understanding: Single-view 3d holistic scene parsing and human pose estimation with human-object interaction and physical commonsense
Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, and Song-Chun Zhu · 2019
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Multi-person 3d human pose estimation from monocular images
Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, and Arjun Jain · 2019
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Livecap: Real-time human performance capture from monocular video
Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, and Christian Theobalt · 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 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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Learning the depths of moving people by watching frozen people
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, and William T Freeman · 2019
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Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
Gyeongsik Moon, Juyong Chang, and Kyoung Mu Lee · 2019
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Gravity-aware monocular 3d human-object reconstruction
Rishabh Dabral, Soshi Shimada, Arjun Jain, Christian Theobalt, and Vladislav Golyanik · 2021
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Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors
Vladimir Guzov, Aymen Mir, Torsten Sattler, and Gerard Pons-Moll · 2021
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Task-generic hierarchical human motion prior using vaes
Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, and Yajie Zhao · 2021
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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
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Vision transformers for dense prediction
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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Humor: 3d human motion model for robust pose estimation
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Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Cited alongside, same era.
Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
Grégory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2019
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Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation
Bastian Wandt and Bodo Rosenhahn · 2019
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Pandanet: Anchor-based single-shot multi-person 3d pose estimation
Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, and Catherine Achard · 2020
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Deepcap: Monocular human performance capture using weak supervision
Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt · 2020
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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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Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J. Guibas · 2021
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Neural monocular 3d human motion capture with physical awareness
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, and Christian Theobalt · 2021
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Monocular, one-stage, regression of multiple 3d people
Yu Sun, Qian Bao, Wu Liu, Yili Fu, Black Michael J., and Tao Mei · 2021
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Body size and depth disambiguation in multi-person reconstruction from single images
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, and Francesc Moreno-Noguer · 2021
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Holistic 3d human and scene mesh estimation from single view images
Zhenzhen Weng and Serena Yeung · 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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Thundr: Transformer-based 3d human reconstruction with markers
Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 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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Behave: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
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Bodyslam: Joint camera localisation, mapping, and human motion tracking
Dorian F Henning, Tristan Laidlow, and Stefan Leutenegger · 2022
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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
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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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Consensus-based optimization for 3d human pose estimation in camera coordinates
Diogo C. Luvizon, David Picard, and Hedi Tabia · 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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Human-aware object placement for visual environment reconstruction
Hongwei Yi, Chun-Hao P Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, and Michael J Black · 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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Egobody: Human body shape and motion of interacting people from head-mounted devices
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, and Siyu Tang · 2022
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