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We present an implicit neural representation to learn the spatio-temporal space of kinematic motions.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Gaussian process dynamical models for human motion
Jack M Wang, David J Fleet, and Aaron Hertzmann · 2008
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Motion fields for interactive character locomotion
Yongjoon Lee, Kevin Wampler, Gilbert Bernstein, Jovan Popović, and Zoran Popović · 2010
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Continuous character control with low-dimensional embeddings
Sergey Levine, Jack M. Wang, Alexis Haraux, Zoran Popović, and Vladlen Koltun · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 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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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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Spectral style transfer for human motion between independent actions
M Ersin Yumer and Niloy J Mitra · 2016
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Soft-dtw: A differentiable loss function for time-series
Marco Cuturi and Mathieu Blondel · 2017
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Phase-functioned neu-ral networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 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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Inertialization: High-Performance animation transitions in ‘gears of war’
David Bollo · 2018
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Quaternet: A quaternion-based recurrent model for human motion
Dario Pavllo, David Grangier, and Michael Auli · 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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Neural kinematic networks for unsupervised motion retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, and Honglak Lee · 2018
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Mode-adaptive neural networks for quadruped motion control
He Zhang, Sebastian Starke, Taku Komura, and Jun Saito · 2018
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 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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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris Kitani · 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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A spatio-temporal transformer for 3d human motion prediction
Emre Aksan, Manuel Kaufmann, Peng Cao, and Otmar Hilliges · 2021
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Snarf: Differentiable forward skinning for animating non-rigid neural implicit shapes
Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 2021
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Supertrack: Motion tracking for physically simulated characters using supervised learning
Levi Fussell, Kevin Bergamin, and Daniel Holden · 2021
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Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
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Robust motion in-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
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Moglow: Probabilistic and controllable motion synthesis using normalising flows
Gustav Eje Henter, Simon Alexanderson, and Jonas Beskow · 2020
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Learned motion matching
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Convolutional autoencoders for human motion infilling
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Learning to generate diverse dance motions with transformer
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Learning compositional representation for 4d captures with neural ode
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Task-generic hierarchical human motion prior using vaes
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Ai choreographer: Music conditioned 3d dance generation with aist++, 2021
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LEAP: Learning articulated occupancy of people
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Action-conditioned 3D human motion synthesis with transformer VAE
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D-nerf: Neural radiance fields for dynamic scenes
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Neural animation layering for synthesizing martial arts movements
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Learning motion priors for 4d human body capture in 3d scenes
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We are more than our joints: Predicting how 3d bodies move
Yan Zhang, Michael J Black, and Siyu Tang · 2021
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Neural 3d video synthesis from multi-view video
Tianye Li, Mira Slavcheva, M. Zollhöfer, S. Green, Christoph Lassner, Changil Kim, Tanner Schmidt, S. Lovegrove, M. Goesele, R. Newcombe, and Z. Lv · 2022
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COAP: Compositional articulated occupancy of people
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