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EDGE: Editable Dance Generation From Music [PDF]
Computer Vision and Pattern Recognition, 2022 Dance is an important human art form, but creating new dances can be difficult and time-consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art method for editable dance generation that is capable of creating realistic,
Jo-Han Tseng, Rodrigo Castellon, C. Liu
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Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory [PDF]
Computer Vision and Pattern Recognition, 2022 Driving 3D characters to dance following a piece of music is highly challenging due to the spatial constraints applied to poses by choreography norms.
Lian Siyao +7 more
semanticscholar +1 more source
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ [PDF]
IEEE International Conference on Computer Vision, 2021 We present AIST++, a new multi-modal dataset of 3D dance motion and music, along with FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion conditioned on music.
Ruilong Li +3 more
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Disco: Disentangled Control for Realistic Human Dance Generation [PDF]
Computer Vision and Pattern Recognition, 2023 Generative AI has made significant strides in computer vision, particularly in text-driven image/video synthesis (T2I/T2V). Despite the notable advancements, it remains challenging in human-centric content synthesis such as realistic dance generation ...
Tan Wang +7 more
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TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration [PDF]
IEEE International Conference on Computer Vision, 2023 We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities. Unlike existing works that generate dance movements using a single modality such as music, our goal is to produce richer dance ...
Kehong Gong +6 more
semanticscholar +1 more source
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer [PDF]
AAAI Conference on Artificial Intelligence, 2021 Generating 3D dances from music is an emerged research task that benefits a lot of applications in vision and graphics. Previous works treat this task as sequence generation, however, it is challenging to render a music-aligned long-term sequence with ...
Buyu Li +3 more
semanticscholar +1 more source
The Táncház-Method in Folk Dance Education
Tánc és Nevelés, 2023 In our study, we present a plan for folk dance training and its methodological background within the framework of a larger interdisciplinary research program.
Ildikó Sándor, Béla Ónodi
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EURO Journal on Computational Optimization, 2022 Robot Dance is a computational optimization platform developed in response to the COVID-19 outbreak, to support the decision-making on public policies at a regional level.
L. Nonato +4 more
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Tánc és Nevelés, 2023 A functional strength training tool, the kettlebell, has been used by classical ballet students at the Hungarian Dance University in skill development classes since 2021.
Milán Ujvári, Bence Szabó
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Application of Mental Practices of the Franklin Method in Dance Education
Tánc és Nevelés, 2022 Cognitive psychology, motion sciences and sport psychology widely accept the approach that technologies based on the intended use of mental representations significantly contribute to the development of sensory and motor functions. The method of Franklin
Zoltán Gercsó, Beáta Szászi
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