POPDG: Popular 3D Dance Generation with PopDanceSet

• Published in: arXiv.org
• Main Authors: Luo, Zhenye, Ren, Min, Hu, Xuecai, Huang, Yongzhen, Yao, Li
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 06.05.2024
• Subjects: Algorithms; Alignment; Dance; Datasets; Joints

Generating dances that are both lifelike and well-aligned with music continues to be a challenging task in the cross-modal domain. This paper introduces PopDanceSet, the first dataset tailored to the preferences of young audiences, enabling the generation of aesthetically oriented dances. And it sur...