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Existing music-driven 3D dance generation methods mainly concentrate on high-quality dance generation, but lack sufficient control during the generation process.
“Efficient content-based retrieval of motion capture data,”
Meinard Müller, Tido Röder, and Michael Clausen, · 2005
Earlier work this paper cites.
“Fmdistance: A fast and effective distance function for motion capture data.,”
Kensuke Onuma, Christos Faloutsos, and Jessica K Hodgins, · 2008
Earlier work this paper cites.
“librosa: Audio and music signal analysis in python,”
Brian McFee, Colin Raffel, Dawen Liang, Daniel P Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto, · 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.
“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“Gans trained by a two time-scale update rule converge to a local nash equilibrium,”
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter, · 2017
Earlier work this paper cites.
“Improving language understanding by generative pre-training,”
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al., · 2018
Earlier work this paper cites.
“Dance revolution: Long-term dance generation with music via curriculum learning,”
Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, and Daxin Jiang, · 2020
Cited alongside, same era.
“Denoising diffusion probabilistic models,”
Jonathan Ho, Ajay Jain, and Pieter Abbeel, · 2020
Cited alongside, same era.
“Deepdance: music-to-dance motion choreography with adversarial learning,”
Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan S Kankanhalli, Weidong Geng, and Xiangdong Li, · 2020
Cited alongside, same era.
“Ai choreographer: Music conditioned 3d dance generation with aist++,”
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa, · 2021
Cited alongside, same era.
“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
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
Later among the works it cites.
“Follow your pose: Pose-guided text-to-video generation using pose-free videos,”
Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Ying Shan, Xiu Li, and Qifeng Chen, · 2023
Later among the works it cites.
“Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors,”
Yukang Lin, Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang, and Xiu Li, · 2023
Later among the works it cites.
“Finedance: A fine-grained choreography dataset for 3d full body dance generation,”
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Yansong Tang, and Xiu Li, · 2023
Later among the works it cites.
“Edge: Editable dance generation from music,”
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“Bailando: 3d dance generation by actor-critic gpt with choreographic memory,”
Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu, · 2022
Cited alongside, same era.
“A brand new dance partner: Music-conditioned pluralistic dancing controlled by multiple dance genres,”
Jinwoo Kim, Heeseok Oh, Seongjean Kim, Hoseok Tong, and Sanghoon Lee, · 2022
Cited alongside, same era.
Jonathan Tseng, Rodrigo Castellon, and Karen Liu, · 2023
Later among the works it cites.
“Tm2d: Bimodality driven 3d dance generation via music-text integration,”
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, and Xinchao Wang, · 2023
Later among the works it cites.
“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
Later among the works it cites.