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The modeling of human motion using machine learning methods has been widely studied.
Two deterministic half-quadratic regularization algorithms for computed imaging
Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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http://mocap.cs.cmu.edu/ , 2000
Cmu graphics lab. cmu graphics lab motion capture database · 2000
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HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O Balan, and Michael J Black · 2010
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Learning stochastic recurrent networks
Justin Bayer and Christian Osendorfer · 2014
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MoSh: Motion and shape capture from sparse markers
Matthew M. Loper, Naureen Mahmood, and Michael J. Black · 2014
Earlier work this paper cites.
Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Earlier work this paper cites.
A recurrent latent variable model for sequential data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C Courville, and Yoshua Bengio · 2015
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
Earlier work this paper cites.
Ladder variational autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, and Ole Winther · 2016
Earlier work this paper cites.
Terrain-adaptive locomotion skills using deep reinforcement learning
Xue Bin Peng, Glen Berseth, and Michiel Van de Panne · 2016
Earlier work this paper cites.
On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J Black, and Javier Romero · 2017
Cited alongside, same era.
Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 2017
Cited alongside, same era.
Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
Cited alongside, same era.
Searching for activation functions
Prajit Ramachandran, Barret Zoph, and Quoc V Le · 2017
Cited alongside, same era.
Few-shot human motion prediction via meta-learning
Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, and Jose M. F. Moura · 2018
Cited alongside, same era.
Quaternet: A quaternion-based recurrent model for human motion
Dario Pavllo, David Grangier, and Michael Auli · 2018
STCN: Stochastic temporal convolutional networks
Emre Aksan and Otmar Hilliges · 2019
Later among the works it cites.
Modeling human motion with quaternion-based neural networks
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, and David Grangier · 2019
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Imitation learning for human pose prediction
Borui Wang, Ehsan Adeli, Hsu-kuang Chiu, De-An Huang, and Juan Carlos Niebles · 2019
Later among the works it cites.
Human motion prediction via spatio-temporal inpainting
Alejandro Hernandez, Jurgen Gall, and Francesc Moreno-Noguer · 2019
Later among the works it cites.
Convolutional sequence generation for skeleton-based action synthesis
Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, and Dahua Lin · 2019
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Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
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Cited alongside, same era.
Adversarial geometry-aware human motion prediction
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, and José MF Moura · 2018
Cited alongside, same era.
Convolutional sequence to sequence model for human dynamics
Chen Li, Zhen Zhang, Wee Sun Lee, and Gim Hee Lee · 2018
Cited alongside, same era.
https://accad.osu.edu/research/motion-lab/systemdata , 2018
Accad mocap system and data · 2018
Cited alongside, same era.
Convolutional neural network for trajectory prediction
Nishant Nikhil and Brendan Tran Morris · 2018
Cited alongside, same era.
Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
Cited alongside, same era.
AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
Cited alongside, same era.
Later among the works it cites.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Later among the works it cites.
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
Later among the works it cites.
Resolving 3D human pose ambiguities with 3D scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J. Black · 2019
Later among the works it cites.
Preventing posterior collapse with delta-VAEs
Ali Razavi, Aaron van den Oord, Ben Poole, and Oriol Vinyals · 2019
Later among the works it cites.
Generating 3d people in scenes without people
Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, and Siyu Tang · 2020
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