activity
20242026
collaborators

11 papers

cs.HC2026

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.…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.IR2026

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…

cs.CV2026

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,…