Fetching the paper…
Reading the bibliography…
We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities.
Animating rotation with quaternion curves
Ken Shoemake · 1985
Earlier work this paper cites.
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.
Example-based automatic music-driven conventional dance motion synthesis
Rukun Fan, Songhua Xu, and Weidong Geng · 2011
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
Earlier work this paper cites.
The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
Earlier work this paper cites.
Groovenet: Real-time music-driven dance movement generation using artificial neural networks
Omid Alemi, Jules Françoise, and Philippe Pasquier · 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.
Towards the automatic anime characters creation with generative adversarial networks
Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, and Zhihao Fang · 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.
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.
Listen to dance: Music-driven choreography generation using autoregressive encoder-decoder network
Juheon Lee, Seohyun Kim, and Kyogu 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.
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2018
Earlier work this paper cites.
Dance with melody: An lstm-autoencoder approach to music-oriented dance synthesis
Taoran Tang, Jia Jia, and Hanyang Mao · 2018
Earlier work this paper cites.
Mocogan: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 2018
Earlier work this paper cites.
Paired recurrent autoencoders for bidirectional translation between robot actions and linguistic descriptions
Tatsuro Yamada, Hiroyuki Matsunaga, and Tetsuya Ogata · 2018
Earlier work this paper cites.
Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
Earlier work this paper cites.
Learning individual styles of conversational gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, and Jitendra Malik · 2019
Earlier work this paper cites.
Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
Earlier work this paper cites.
Weakly-supervised deep recurrent neural networks for basic dance step generation
Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, and Tetsuya Ogata · 2019
Cited alongside, same era.
Generative autoregressive networks for 3d dancing move synthesis from music
Hyemin Ahn, Jaehun Kim, Kihyun Kim, and Songhwai Oh · 2020
Cited alongside, same era.
fairmotion - tools to load, process and visualize motion capture data
Deepak Gopinath and Jungdam Won · 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.
Temporally guided music-to-body-movement generation
Hsuan-Kai Kao and Li Su · 2020
Cited alongside, same era.
Open-vocabulary object detection via vision and language knowledge distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, and Yin Cui · 2022
Later among the works it cites.
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.
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.
Danceconv: Dance motion generation with convolutional networks
Kosmas Kritsis, Aggelos Gkiokas, Aggelos Pikrakis, and Vassilis Katsouros · 2022
Later among the works it cites.
Danceformer: Music conditioned 3d dance generation with parametric motion transformer
Buyu Li, Yongchi Zhao, Shi Zhelun, and Lu Sheng · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
Cited alongside, same era.
Self-supervised dance video synthesis conditioned on music
Xuanchi Ren, Haoran Li, Zijian Huang, and Qifeng Chen · 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.
Choreonet: Towards music to dance synthesis with choreographic action unit
Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, and Yanfeng Wang · 2020
Cited alongside, same era.
Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris Kitani · 2020
Cited alongside, same era.
Towards 3d dance motion synthesis and control
Wenlin Zhuang, Yangang Wang, Joseph Robinson, Congyi Wang, Ming Shao, Yun Fu, and Siyu Xia · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Dongze Lian, Daquan Zhou, Jiashi Feng, and Xinchao Wang · 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.
Shunted Self-Attention via Multi-Scale Token Aggregation
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, and Xinchao Wang · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
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
Later among the works it cites.
Groupvit: Semantic segmentation emerges from text supervision
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, and Xiaolong Wang · 2022
Later among the works it cites.
Deep model reassembly
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, and Xinchao Wang · 2022
Later among the works it cites.
Metaformer Baselines for Vision
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, and Xinchao Wang · 2022
Later among the works it cites.
Music2dance: Dancenet for music-driven dance generation
Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, and Siyu Xia · 2022
Later among the works it cites.
https://www.mixamo.com/
mixamo · 2023
Closest in time.
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen, Yunhe Wang, Jianyuan Guo, and Dacheng Tao · 2023
Closest in time.
Structural pruning for diffusion models
Gongfan Fang, Xinyin Ma, and Xinchao Wang · 2023
Closest in time.
Revisiting pruning at initialization through the lens of ramanujan graph
Duc N.M Hoang, Shiwei Liu, Radu Marculescu, and Zhangyang Wang · 2023
Closest in time.
LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma, Gongfan Fang, and Xinchao Wang · 2023
Closest in time.
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Sucheng Ren, Xingyi Yang, Songhua Liu, and Xinchao Wang · 2023
Closest in time.