activity
20222026
collaborators

15 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.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.SD2026

MG-Former: A Transformer-Based Framework for Music-Driven 3D Conducting Gesture Generation

Ke Qiu, Yawen Qin, Tianzhi Jia +3

Generating expressive conducting gestures from music is a challenging cross-modal motion synthesis problem: the output must follow long-range musical structure, preserve beat-level…

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

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,…

cs.AI2026

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…

cs.CV2025

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.CV2025

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.SD2025

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…

cs.SD2025

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,…

cs.SD2024

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…

cs.SD2023

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…

cs.CV2022

SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation

Zhaoxin Fan, Kaixing Yang, Min Zhang +3

Recently, over-height vehicle strike frequently occurs, causing great economic cost and serious safety problems. Hence, an alert system which can accurately discover any possible h…