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DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning
IEEE transactions on multimedia, 2020The creation of improvised dancing choreographies is an important research field of cross-modal analysis. A key point of this task is how to effectively create and correlate music and dance with a probabilistic one-to-many mapping, which is essential to ...
Guofei Sun +5 more
semanticscholar +1 more source
Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
International Conference on Learning RepresentationsWe introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the"follower", synchronized with the lead dancer's movements and the underlying
Si-Yao Li +7 more
semanticscholar +1 more source
Dance for neuroplasticity: A descriptive systematic review
Neuroscience and Biobehavioral Reviews, 2019HighlightsDance provides a unique model for investigating how brain integrates movement and sound.Dancing can strengthen the connectivity between both cerebral hemispheres.Complex movements of dancing recruit different motor, somatosensory and cognitive ...
L. Teixeira-Machado +2 more
semanticscholar +1 more source
Dance with Melody: An LSTM-autoencoder Approach to Music-oriented Dance Synthesis
ACM Multimedia, 2018Dance is greatly influenced by music. Studies on how to synthesize music-oriented dance choreography can promote research in many fields, such as dance teaching and human behavior research.
Taoran Tang, Jia Jia, Han-Yang Mao
semanticscholar +1 more source
Acceptance of dance training system based on augmented reality and technology acceptance model (TAM)
Virtual Reality, 2021J. Iqbal, M. Sidhu
semanticscholar +1 more source
Dance Interactive Learning Systems: A Study on Interaction Workflow and Teaching Approaches
ACM Computing Surveys, 2020Akrivi Katifori +2 more
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