12 papers
CustomDance: Customized 3D Dance Generation with Coarse-to-Fine Human-Centered Interactive Control
Xulong Tang, Kaixing Yang, Xiaohu Guo +2
With the rise of AI-generated content (AIGC) and advanced techniques for 3D human representation, the task of generating 3D dance movements has become an exciting area of research.…
OmniDance: Multimodal Driven Dance Video Generation with Large-scale Internet Data
Kaixing Yang, Jiashu Zhu, Xulong Tang +8
Music-driven dance video generation aims to synthesize expressive human motion that is temporally aligned with music while maintaining high visual fidelity. Despite recent progress…
Interactive Multi-Turn Retrieval for Health Videos
Chengzheng Wu, Ke Qiu, Baoming Zhang +3
The growing availability of health-related instructional videos creates new opportunities for clinical training, patient rehabilitation, and health education, yet existing retrieva…
BiTDiff: Fine-Grained 3D Conducting Motion Generation via BiMamba-Transformer Diffusion
Tianzhi Jia, Kaixing Yang, Xiaole Yang +4
3D conducting motion generation aims to synthesize fine-grained conductor motions from music, with broad potential in music education, virtual performance, digital human animation,…
TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba
Ziyue Yang, Kaixing Yang, Xulong Tang
Music-to-dance generation has broad applications in virtual reality, dance education, and digital character animation. However, the limited coverage of existing 3D dance datasets c…
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,…
CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition
Kaixing Yang, Xulong Tang, Haoyu Wu +4
Dance generation is crucial and challenging, particularly in domains like dance performance and virtual gaming. In the current body of literature, most methodologies focus on Solo…
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval
Kaixing Yang, Xukun Zhou, Xulong Tang +4
Dance and music are closely related forms of expression, with mutual retrieval between dance videos and music being a fundamental task in various fields like education, art, and sp…