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A deep generative model that describes human motions can benefit a wide range of fundamental computer vision and graphics tasks, such as providing robustness to video-based human pose estimation, predicting complete body movements for motion capture systems during occlusions, and assisting key frame animation with plausible movements.
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Artist-directed inverse-kinematics using radial basis function interpolation
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Style-based inverse kinematics
Keith Grochow, Steven L Martin, Aaron Hertzmann, and Zoran Popović · 2004
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Scape: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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Temporal motion models for monocular and multiview 3d human body tracking
Raquel Urtasun, David J Fleet, and Pascal Fua · 2006
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Jack M Wang, David J Fleet, and Aaron Hertzmann · 2007
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Generalizing motion edits with gaussian processes
Leslie Ikemoto, Okan Arikan, and David Forsyth · 2009
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Modeling 3d human poses from uncalibrated monocular images
Xiaolin K Wei and Jinxiang Chai · 2009
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Videomocap: Modeling physically realistic human motion from monocular video sequences
Xiaolin Wei and Jinxiang Chai · 2010
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Generative adversarial networks
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Efficient nonlinear markov models for human motion
Andreas M Lehrmann, Peter V Gehler, and Sebastian Nowozin · 2014
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Pose-conditioned joint angle limits for 3d human pose reconstruction
Ijaz Akhter and Michael J Black · 2015
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Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 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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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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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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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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Towards accurate marker-less human shape and pose estimation over time
Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V Gehler, Javier Romero, Ijaz Akhter, and Michael J Black · 2017
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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J. Black, and Javier Romero · 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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Indirect deep structured learning for 3d human body shape and pose prediction
Jun Kai Vince Tan, Ignas Budvytis, and Roberto Cipolla · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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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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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 total capture: Posing face, body, and hands in the wild
Donglai Xiang, Hanbyul Joo, and Yaser Sheikh · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Skeleton-aware networks for deep motion retargeting
Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, and Baoquan Chen · 2020
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Rishabh Dabral, Anurag Mundhada, Uday Kusupati, Safeer Afaque, Abhishek Sharma, and Arjun Jain · 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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Exploiting temporal information for 3d human pose estimation
Mir Rayat Imtiaz Hossain and James J Little · 2018
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Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
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Neural kinematic networks for unsupervised motion retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, and Honglak Lee · 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
Cited alongside, same era.
Mt-vae: Learning motion transformations to generate multimodal human dynamics
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, and Honglak Lee · 2018
Cited alongside, same era.
Hongsuk Choi, Gyeongsik Moon, and Kyoung Mu Lee · 2020
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Point2mesh: A self-prior for deformable meshes
Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or · 2020
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Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 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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Blind video temporal consistency via deep video prior
Chenyang Lei, Yazhou Xing, and Qifeng Chen · 2020
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Learning to generate diverse dance motions with transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
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Progressive learning and disentanglement of hierarchical representations
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, and Linwei Wang · 2020
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne · 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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Contact and human dynamics from monocular video
Davis Rempe, Leonidas J Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang · 2020
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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
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Deep optimized priors for 3d shape modeling and reconstruction
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, and Kui Jia · 2020
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Weakly supervised 3d human pose and shape reconstruction with normalizing flows
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2020
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Generative tweening: Long-term inbetweening of 3d human motions
Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, et al · 2020
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