Fetching the paper…
Reading the bibliography…
Generating full-body and multi-genre dance sequences from given music is a challenging task, due to the limitations of existing datasets and the inherent complexity of the fine-grained hand motion and dance genres.
To dance is human: A theory of nonverbal communication
Judith Lynne Hanna · 1987
Earlier work this paper cites.
Motion synthesis by example
Alexis Lamouret and Michiel van de Panne · 1996
Earlier work this paper cites.
Interactive motion generation from examples
Okan Arikan and David A Forsyth · 2002
Earlier work this paper cites.
Motion graphs
Kovar Lucas, Gleicher Michael, and Pighin Frédéric · 2002
Earlier work this paper cites.
Rhythmic-motion synthesis based on motion-beat analysis
Tae-hoon Kim, Sang Il Park, and Sung Yong Shin · 2003
Earlier work this paper cites.
Making them dance
Jae Woo Kim, Hesham Fouad, and James K Hahn · 2006
Earlier work this paper cites.
Dancing-to-music character animation
Takaaki Shiratori, Atsushi Nakazawa, and Katsushi Ikeuchi · 2006
Earlier work this paper cites.
Learn2dance: Learning statistical music-to-dance mappings for choreography synthesis
Ferda Ofli, Engin Erzin, Yücel Yemez, and A Murat Tekalp · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Music similarity-based approach to generating dance motion sequence
Minho Lee, Kyogu Lee, and Jaeheung Park · 2013
Earlier work this paper cites.
Kinetic imaginations: exploring the possibilities of combining ai and dance
Alexander Berman and Valencia James · 2015
Earlier work this paper cites.
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.
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.
Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
Earlier work this paper cites.
An automatic system for humanoid dance creation
Adriano Manfrè, Ignazio Infantino, Filippo Vella, and Salvatore Gaglio · 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.
Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 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
Cited alongside, same era.
Dance with melody: An lstm-autoencoder approach to music-oriented dance synthesis
Taoran Tang, Jia Jia, and Mao Hanyang · 2018
Cited alongside, same era.
Neural kinematic networks for unsupervised motion retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, and Honglak Lee · 2018
Cited alongside, same era.
Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 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.
Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
Deepdance: Music-to-dance motion choreography with adversarial learning
Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan S. Kankanhalli, Weidong Geng, and Xiangdong Li · 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.
Learning motion priors for 4d human body capture in 3d scenes
Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, and Siyu Tang · 2021
Later among the works it cites.
We are more than our joints: Predicting how 3d bodies move
Yan Zhang, Michael J Black, and Siyu Tang · 2021
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
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Two-stream adaptive graph convolutional networks for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
Cited alongside, same era.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 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.
Statistics-based motion synthesis for social conversations
Yanzhe Yang, Jimei Yang, and Jessica Hodgins · 2020
Cited alongside, same era.
Jianxin Ma, Shuai Bai, and Chang Zhou · 2022
Closest in time.
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
Closest in time.
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H Bermano, and Daniel Cohen-Or · 2022
Closest in time.
Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and C Karen Liu · 2022
Closest in time.
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
Closest in time.
The wanderings of odysseus in 3d scenes
Yan Zhang and Siyu Tang · 2022
Closest in time.
Learning all-in collaborative multiview binary representation for clustering
Yachao Zhang, Yuan Xie, Cuihua Li, Zongze Wu, and Yanyun Qu · 2022
Closest in time.
Music2dance: Dancenet for music-driven dance generation
Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, and Siyu Xia · 2022
Closest in time.
Camouflaged object detection with feature decomposition and edge reconstruction
Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li · 2023
Closest in time.
Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li · 2023
Closest in time.
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
Closest in time.
Flag3d: A 3d fitness activity dataset with language instruction
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, and Xiu Li · 2023
Closest in time.
Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
Closest in time.