activity
20232025
most citedExploring Multi-Modal Control in Music-Driven Dance Generation

7 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SD2025

TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreography

Yuqin Dai, Wanlu Zhu, Ronghui Li +4

Music-driven dance generation has garnered significant attention due to its wide range of industrial applications, particularly in the creation of group choreography. During the gr…

cs.CV2024

MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models

Zunnan Xu, Yukang Lin, Haonan Han +4

Gesture synthesis is a vital realm of human-computer interaction, with wide-ranging applications across various fields like film, robotics, and virtual reality. Recent advancements…

cs.SD20247 cited

Exploring Multi-Modal Control in Music-Driven Dance Generation

Ronghui Li, Yuqin Dai, Yachao Zhang +4

Existing music-driven 3D dance generation methods mainly concentrate on high-quality dance generation, but lack sufficient control during the generation process. To address these i…

cs.CV20246 cited

Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute

Chaoqun Gong, Yuqin Dai, Ronghui Li +5

Generating 3D human models directly from text helps reduce the cost and time of character modeling. However, achieving multi-attribute controllable and realistic 3D human avatar ge…

cs.CV2023

Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control

Zunnan Xu, Yachao Zhang, Sicheng Yang +2

This study aims to improve the generation of 3D gestures by utilizing multimodal information from human speech. Previous studies have focused on incorporating additional modalities…