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In this paper, we address the challenge of generating realistic 3D human motions for action classes that were never seen during the training phase.
Representing cyclic human motion using functional analysis
Dirk Ormoneit, Michael J. Black, Trevor Hastie, and Hedvig Kjellström · 2005
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The kit whole-body human motion database
Christian Mandery, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, and Tamim Asfour · 2015
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Cmu graphics lab motion capture database., October 5, 2016
C.M. University · 2016
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Language2pose: Natural language grounded pose forecasting, 2019
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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Amass: Archive of motion capture as surface shapes, 2019
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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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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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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Moglow: probabilistic and controllable motion synthesis using normalising flows
Gustav Eje Henter, Simon Alexanderson, and Jonas Beskow · 2020
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Human motion prediction using manifold-aware wasserstein gan, 2021
Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, and Angela Bartolo · 2021
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Prafulla Dhariwal and Alex Nichol · 2021
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Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
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Action-conditioned 3d human motion synthesis with transformer vae, 2021
Mathis Petrovich, Michael J. Black, and Gül Varol · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Teach: Temporal action composition for 3d humans, 2022
Nikos Athanasiou, Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
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Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
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Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
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Listen, denoise, action! audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, and Gustav Eje Henter · 2023
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Executing your commands via motion diffusion in latent space, 2023
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, and Gang Yu · 2023
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Momask: Generative masked modeling of 3d human motions, 2023
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, and Li Cheng · 2023
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Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, and Joshua B. Tenenbaum · 2023
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Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts, 2022
Chuan Guo, Xinxin Zuo, Sen Wang, and Li Cheng · 2022
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Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts, 2022
Chuan Guo, Xinxin Zuo, Sen Wang, and Li Cheng · 2022
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Classifier-free diffusion guidance, 2022
Jonathan Ho and Tim Salimans · 2022
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Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
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Jiangxin Sun, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, and Jian-Fang Hu · 2022
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Human motion diffusion model, 2022
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H. Bermano · 2022
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Actformer: A gan-based transformer towards general action-conditioned 3d human motion generation, 2022
Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, and Wei Wu · 2022
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Mathis Petrovich, Michael J. Black, and Gül Varol · 2023
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TMR: Text-to-motion retrieval using contrastive 3D human motion synthesis
Mathis Petrovich, Michael J. Black, and Gül Varol · 2023
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Single motion diffusion, 2023
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Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, and Xiaodong Lin · 2023
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Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, and Ming-Yu Liu · 2023
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Taming diffusion models for audio-driven co-speech gesture generation, 2023
Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, and Lequan Yu · 2023
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Sinc: Spatial composition of 3d human motions for simultaneous action generation, 2024
Nikos Athanasiou, Mathis Petrovich, Michael J. Black, and Gül Varol · 2024
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Multi-track timeline control for text-driven 3d human motion generation, 2024
Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, and Davis Rempe · 2024
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