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In this study, we introduce a learning-based method for generating high-quality human motion sequences from text descriptions (e.g., ``A person walks forward").
The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
Earlier work this paper cites.
HP-GAN: probabilistic 3d human motion prediction via GAN
Emad Barsoum, John Kender, and Zicheng Liu · 2017
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A recurrent variational autoencoder for human motion synthesis
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, and Taku Komura · 2017
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Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
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Deep video generation, prediction and completion of human action sequences
Haoye Cai, Chunyan Bai, Yu-Wing Tai, and Chi-Keung Tang · 2018
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MoCoGAN: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 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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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 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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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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Local motion phases for learning multi-contact character movements
Sebastian Starke, Yiwei Zhao, Taku Komura, and Kazi Zaman · 2020
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Dance2music: Automatic dance-driven music generation
Gunjan Aggarwal and Devi Parikh · 2021
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Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents
Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, and Dinesh Manocha · 2021
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Learning free gait transition for quadruped robots via phase-guided controller
Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, and Wei Yang · 2021
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Deepphase: Periodic autoencoders for learning motion phase manifolds
Sebastian Starke, Ian Mason, and Taku Komura · 2022
Later among the works it cites.
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano · 2022
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Physdiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2022
Later among the works it cites.
Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
Later among the works it cites.
Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
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Nikos Athanasiou, Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Temos: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
T2m-gpt: Generating human motion from textual descriptions with discrete representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, and Xi Shen
Cited in the paper.
Remodiffuse: Retrieval-augmented motion diffusion model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, and Ziwei Liu
Cited in the paper.
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Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 2023
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Genloco: Generalized locomotion controllers for quadrupedal robots
Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, et al · 2023
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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Action-gpt: Leveraging large-scale language models for improved and generalized action generation, 2023
Sai Shashank Kalakonda, Shubh Maheshwari, and Ravi Kiran Sarvadevabhatla · 2023
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Flame: Free-form language-based motion synthesis editing
Jihoon Kim, Jiseob Kim, and Sungjoon Choi · 2023
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