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Generating 3D human motion based on textual descriptions has been a research focus in recent years.
Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 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.
The kit whole-body human motion database
Christian Mandery, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, and Tamim Asfour · 2015
Earlier work this paper cites.
Motion matching and the road to next-gen animation
Simon Clavet · 2016
Earlier work this paper cites.
A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
Earlier work this paper cites.
The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
Earlier work this paper cites.
Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
Earlier work this paper cites.
Auto-conditioned recurrent networks for extended complex human motion synthesis
Zimo Li, Yi Zhou, Shuangjiu Xiao, Chong He, Zeng Huang, and Hao Li · 2017
Earlier work this paper cites.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
The pose knows: Video forecasting by generating pose futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert · 2017
Earlier work this paper cites.
A survey on human performance capture and animation
Shihong Xia, Lin Gao, Yu-Kun Lai, Ming-Ze Yuan, and Jinxiang Chai · 2017
Earlier work this paper cites.
Text2action: Generative adversarial synthesis from language to action
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh · 2018
Earlier work this paper cites.
Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Interactive character animation by learning multi-objective control
Kyungho Lee, Seyoung Lee, and Jehee Lee · 2018
Earlier work this paper cites.
Generating animated videos of human activities from natural language descriptions
Angela S. Lin, Lemeng Wu, Rodolfo Corona, Kevin W. H. Tai, Qixing Huang, and Raymond J. Mooney · 2018
Earlier work this paper cites.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Earlier work this paper cites.
Mode-adaptive neural networks for quadruped motion control
He Zhang, Sebastian Starke, Taku Komura, and Jun Saito · 2018
Cited alongside, same era.
Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
Cited alongside, same era.
Bihmp-gan: Bidirectional 3d human motion prediction gan
Jogendra Nath Kundu, Maharshi Gor, and R Venkatesh Babu · 2019
Cited alongside, same era.
Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
Cited alongside, same era.
Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
Cited alongside, same era.
Combining recurrent neural networks and adversarial training for human motion synthesis and control
Zhiyong Wang, Jinxiang Chai, and Shihong Xia · 2019
Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
Neural animation layering for synthesizing martial arts movements
Sebastian Starke, Yiwei Zhao, Fabio Zinno, and Taku Komura · 2021
Later among the works it cites.
Transflower: probabilistic autoregressive dance generation with multimodal attention
Guillermo Valle-Pérez, Gustav Eje Henter, Jonas Beskow, Andre Holzapfel, Pierre-Yves Oudeyer, and Simon Alexanderson · 2021
Later among the works it cites.
Teach: Temporal action composition for 3d humans
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol · 2022
Later among the works it cites.
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Cited alongside, same era.
Skeleton-aware networks for deep motion retargeting
Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, and Baoquan Chen · 2020
Cited alongside, same era.
A stochastic conditioning scheme for diverse human motion prediction
Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, and Stephen Gould · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Learned motion matching
Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa · 2020
Cited alongside, same era.
Learning to generate diverse dance motions with transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
Cited alongside, same era.
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
Later among the works it cites.
Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts
Chuan Guo, Xinxin Zuo, Sen Wang, and Li Cheng · 2022
Later among the works it cites.
Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu · 2022
Later among the works it cites.
Motion puzzle: Arbitrary motion style transfer by body part
Deok-Kyeong Jang, Soomin Park, and Sung-Hee Lee · 2022
Later among the works it cites.
Temos: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J Black, and Gül Varol · 2022
Later among the works it cites.
Motionclip: Exposing human motion generation to clip space
Guy Tevet, Brian Gordon, Amir Hertz, Amit H Bermano, and Daniel Cohen-Or · 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.
Learning uncoupled-modulation cvae for 3d action-conditioned human motion synthesis
Chongyang Zhong, Lei Hu, Zihao Zhang, and Shihong Xia · 2022
Later among the works it cites.
Spatio-temporal gating-adjacency gcn for human motion prediction
Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, and Shihong Xia · 2022
Later among the works it cites.
Pose-aware attention network for flexible motion retargeting by body part
Lei Hu, Zihao Zhang, Chongyang Zhong, Boyuan Jiang, and Shihong Xia · 2023
Closest in time.
Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
Closest in time.
Executing your commands via motion diffusion in latent space
Chen Xin, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, and Gang Yu · 2023
Closest in time.
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 · 2023
Closest in time.