Results 11 to 20 of about 560,429 (305)
Music2Dance: DanceNet for Music-Driven Dance Generation
ACM Transactions on Multimedia Computing, Communications and Applications, 2022 Synthesize human motions from music (i.e., music to dance) is appealing and has attracted lots of research interests in recent years. It is challenging because of the requirement for realistic and complex human motions for dance, but more importantly ...
Siyu Xia, Yangang Wang, Ming Shao
exaly +2 more sources
International Journal of Qualitative Studies on Health and Well-being, 2021 Purpose This review articulates current understanding of the aesthetic, artistic and creative contributions that Dance makes to Health and Wellbeing across the lifecourse within publications 2000–2019, an under-researched area.
Emma Redding +2 more
exaly +2 more sources
Evolution and functions of human dance
Evolution and Human Behavior, 2021 Dance is ubiquitous among humans and has received attention from several disciplines. Ethnographic documentation suggests that dance has a signaling function in social interaction. It can influence mate preferences and facilitate social bonds.
Todd K. Shackelford +2 more
exaly +2 more sources
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
semanticscholar +1 more source
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.
Si-Yao Li +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
semanticscholar +1 more source
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 +8 more
semanticscholar +1 more source
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 +7 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
doaj +1 more source
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
semanticscholar +1 more source