5 papers · 1 filter
MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
Kaixing Yang, Jiashu Zhu, Xulong Tang +7
With the rise of online dance-video platforms and rapid advances in AI-generated content (AIGC), music-driven dance generation has emerged as a compelling research direction. Despi…
FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation
Kaixing Yang, Xulong Tang, Ziqiao Peng +4
Music-to-dance generation aims to translate auditory signals into expressive human motion, with broad applications in virtual reality, choreography, and digital entertainment. Desp…
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation
Ruiyu Mao, Sarthak Kumar Maharana, Xulong Tang +1
LiDAR-based semantic segmentation plays a vital role in autonomous driving by enabling detailed understanding of 3D environments. However, annotating LiDAR point clouds is extremel…
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
Kaixing Yang, Xulong Tang, Ziqiao Peng +3
Music-driven 3D dance generation has attracted increasing attention in recent years, with promising applications in choreography, virtual reality, and creative content creation. Pr…
MATHDance: Mamba-Transformer Architecture with Uniform Tokenization for High-Quality 3D Dance Generation
Kaixing Yang, Xulong Tang, Ziqiao Peng +6
Music-to-dance generation represents a challenging yet pivotal task at the intersection of choreography, virtual reality, and creative content generation. Despite its significance,…