Fetching the paper…
Reading the bibliography…
This paper proposes GraviCap, i.e., a new approach for joint markerless 3D human motion capture and object trajectory estimation from monocular RGB videos.
The levenberg-marquardt algorithm: Implementation and theory
Jorge J. Moré · 1978
Earlier work this paper cites.
Computing the physical parameters of rigid-body motion from video
Kiran S. Bhat, Steven M. Seitz, Jovan Popović, and Pradeep K. Khosla · 2002
Earlier work this paper cites.
Video-based 3d motion capture through biped control
Marek Vondrak, Leonid Sigal, Jessica Hodgins, and Odest Jenkins · 2012
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
Earlier work this paper cites.
Model-based anthropometry: Predicting measurements from 3d human scans in multiple poses
Aggeliki Tsoli, Matthew Loper, and Michael J. Black · 2014
Earlier work this paper cites.
Precise and automatic anthropometric measurement extraction using template registration
Oliver Wasenmüller, Jan C. Peters, Vladislav Golyanik, and Didier Stricker · 2015
Earlier work this paper cites.
3d shape estimation from 2d landmarks: A convex relaxation approach
Xiaowei Zhou, Spyridon Leonardos, Xiaoyan Hu, and Kostas Daniilidis · 2015
Earlier work this paper cites.
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.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Earlier work this paper cites.
Structured prediction of 3d human pose with deep neural networks
Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, and Pascal Fua · 2016
Earlier work this paper cites.
3d reconstruction of human motion from monocular image sequences
Bastian Wandt, Hanno Ackermann, and Bodo Rosenhahn · 2016
Earlier work this paper cites.
3d human pose estimation = 2d pose estimation + matching
Ching-Hang Chen and Deva Ramanan · 2017
Earlier work this paper cites.
RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Earlier work this paper cites.
Discriminative correlation filter with channel and spatial reliability
Alan Lukežič, Tomáš Vojíř, Luka Čehovin Zajc, Jiří Matas, and Matej Kristan · 2017
Earlier work this paper cites.
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J. Little · 2017
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
Earlier work this paper cites.
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
Earlier work this paper cites.
3d human pose estimation from a single image via distance matrix regression
Francesc Moreno-Noguer · 2017
Cited alongside, same era.
Coarse-to-fine volumetric prediction for single-image 3d human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, and Kostas Daniilidis · 2017
Cited alongside, same era.
Lifting from the deep: Convolutional 3d pose estimation from a single image
Denis Tomè, Chris Russell, and Lourdes Agapito · 2017
Cited alongside, same era.
Learning 3d human pose from structure and motion
Rishabh Dabral, Anurag Mundhada, Uday Kusupati, Safeer Afaque, Abhishek Sharma, and Arjun Jain · 2018
Cited alongside, same era.
Learning pose grammar to encode human body configuration for 3d pose estimation
Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, and Song-Chun Zhu · 2018
Cited alongside, same era.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
iMapper: Interaction-guided scene mapping from monocular videos
Aron Monszpart, Paul Guerrero, Duygu Ceylan, Ersin Yumer, and Niloy J. Mitra · 2019
Later among the works it cites.
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
Later among the works it cites.
C3dpo: Canonical 3d pose networks for non-rigid structure from motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, and Andrea Vedaldi · 2019
Later among the works it cites.
3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
Later among the works it cites.
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images
Grégory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Learning to estimate 3d human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
Cited alongside, same era.
Unsupervised geometry-aware representation learning for 3d human pose estimation
Helge Rhodin, Mathieu Salzmann, and Pascal Fua · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Gravity as a reference for estimating a person’s height from video
Didier Bieler, Semih Gunel, Pascal Fua, and Helge Rhodin · 2019
Cited alongside, same era.
Unsupervised 3d pose estimation with geometric self-supervision
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, and James M. Rehg · 2019
Cited alongside, same era.
Multi-person 3d human pose estimation from monocular images
Rishabh Dabral, Nitesh B Gundavarapu, Abhishek Mitra, Rahuland Sharma, Ganesh Ramakrishnan, and Arjun Jain · 2019
Cited alongside, same era.
Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation
Bastian Wandt and Bodo Rosenhahn · 2019
Later among the works it cites.
Deepcap: Monocular human performance capture using weak supervision
Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt · 2020
Later among the works it cites.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
Later among the works it cites.
Xnect: Real-time multi-person 3d motion capture with a single rgb camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohammad Elgharib, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, and Christian Theobalt · 2020
Later among the works it cites.
Contact and human dynamics from monocular video
Davis Rempe, Leonidas J Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang · 2020
Later among the works it cites.
Motionet: 3d human motion reconstruction from monocular video with skeleton consistency
Mingyi Shi, Kfir Aberman, Andreas Aristidou, Taku Komura, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
Later among the works it cites.
Physcap: physically plausible monocular 3d motion capture in real time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, and Christian Theobalt · 2020
Later among the works it cites.
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors · 2020
Later among the works it cites.
Eventcap: Monocular 3d capture of high-speed human motions using an event camera
Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, and Christian Theobalt · 2020
Later among the works it cites.
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
Later among the works it cites.
Neural monocular 3d human motion capture with physical awareness
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, and Christian Theobalt · 2021
Closest in time.