collaborators

14 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

StreamTalk: Streaming Co-Speech Gesture Generation with Key-Pose Anchoring

Xiangyue Zhang, Jianfang Li, Jiaxu Zhang +2

Real-time co-speech gesture generation must produce 3D motion clip by clip as speech arrives. Existing streaming methods are open-loop: each clip depends on past context, but the m…

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

PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers

Xiangyue Zhang, Yiyi Cai, Kunhang Li +6

We propose PersonaGesture, a diffusion-based pipeline for single-reference co-speech gesture personalization of unseen speakers. Given target speech and one motion clip from a new…

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…