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Dance requires skillful composition of complex movements that follow rhythmic, tonal and timbral features of music.
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Attention is all you need. In Advances in Neural Information Processing Systems (NIPS’17) . Curran Associates, Inc., Red Hook, NY, USA, 5998–6008
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Large Scale GAN Training for High Fidelity Natural Image Synthesis. In International Conference on Learning Representations
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IVA: Investigating the use of recurrent motion modelling for speech gesture generation. In IVA ’18 Proceedings of the 18th International Conference on Intelligent Virtual Agents
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Music Transformer: Generating Music with Long-Term Structure. In International Conference on Learning Representations
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Glow: Generative flow with invertible 1x1 convolutions. In Advances in Neural Information Processing Systems (NeurIPS’18) . Curran Associates, Inc., Red Hook, NY, USA, 10236–10245
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QuaterNet: A quaternion-based recurrent model for human motion. In Proceedings of the British Machine Vision Conference (BMVC’18) . BMVA Press, Durham, UK, 14 pages
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Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa. 2020 · 2020
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The Curious Case of Neural Text Degeneration. In International Conference on Learning Representations
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Diversity of Traditional Dance Expression in Crete: Data Collection, Research Questions, and Method Development. In Proceedings of the ICTM Study Group on Sound, Movement, and the Sciences Symposium
Andre Holzapfel, Michael Hagleitner, and Stella Pashalidou. 2020 · 2020
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A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: The GENEA Challenge 2020. In 26th International Conference on Intelligent User Interfaces (College Station, TX, USA) (IUI ’21) . ACM, New York, NY, USA, 11–21
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Learning to Generate Diverse Dance Motions with Transformer
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A primer on motion capture with deep learning: principles, pitfalls, and perspectives
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Multilevel rhythms in multimodal communication
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Local motion phases for learning multi-contact character movements
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ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit. In Proceedings of the 28th ACM International Conference on Multimedia . 744–752
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