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Generating dance from music is crucial for advancing automated choreography.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Image quality metrics: Psnr vs. ssim
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Spatial transformer networks
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librosa: Audio and music signal analysis in python
Brian McFee, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto · 2015
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3d u-net: learning dense volumetric segmentation from sparse annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016
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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Deep representation learning for human motion prediction and classification
Judith Butepage, Michael J Black, Danica Kragic, and Hedvig Kjellstrom · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Audio to body dynamics
Eli Shlizerman, Lucio Dery, Hayden Schoen, and Ira Kemelmacher-Shlizerman · 2018
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Dance with melody: An lstm-autoencoder approach to music-oriented dance synthesis
Taoran Tang, Jia Jia, and Hanyang Mao · 2018
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Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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X2face: A network for controlling face generation using images, audio, and pose codes
Olivia Wiles, A Koepke, and Andrew Zisserman · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
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Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A. Efros · 2019
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Learning individual styles of conversational gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, and Jitendra Malik · 2019
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Human motion prediction via spatio-temporal inpainting
Alejandro Hernandez, Jurgen Gall, and Francesc Moreno-Noguer · 2019
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Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
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First order motion model for image animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe · 2019
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Motion representations for articulated animation
Aliaksandr Siarohin, Oliver J Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
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Show me what and tell me how: Video synthesis via multimodal conditioning
Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris Metaxas, and Sergey Tulyakov · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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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
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Few-shot video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, and Jan Kautz · 2019
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Weakly-supervised deep recurrent neural networks for basic dance step generation
Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, and Tetsuya Ogata · 2019
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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
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Temporally guided music-to-body-movement generation
Hsuan-Kai Kao and Li Su · 2020
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Learning to generate diverse dance motions with transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
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Self-supervised dance video synthesis conditioned on music
Xuanchi Ren, Haoran Li, Zijian Huang, and Qifeng Chen · 2020
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Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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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
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Latent image animator: Learning to animate images via latent space navigation
Yaohui Wang, Di Yang, Francois Bremond, and Antitza Dantcheva · 2022
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Wav2clip: Learning robust audio representations from clip
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, and Juan Pablo Bello · 2022
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Thin-plate spline motion model for image animation
Jian Zhao and Hui Zhang · 2022
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Music2dance: Dancenet for music-driven dance generation
Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, and Siyu Xia · 2022
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Cross-identity video motion retargeting with joint transformation and synthesis
Haomiao Ni, Yihao Liu, Sharon X Huang, and Yuan Xue · 2023
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Conditional image-to-video generation with latent flow diffusion models
Haomiao Ni, Changhao Shi, Kai Li, Sharon X Huang, and Martin Renqiang Min · 2023
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Diffdance: Cascaded human motion diffusion model for dance generation
Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, and Shuicheng Yan · 2023
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Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, and Baining Guo · 2023
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I hear your true colors: Image guided audio generation
Roy Sheffer and Yossi Adi · 2023
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Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, and Shlomo Dubnov · 2023
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Diverse and aligned audio-to-video generation via text-to-video model adaptation
Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, and Yossi Adi · 2024
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