7 citations · 13 across the 3 of their papers we have counts for
5 papers
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…
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
Yuqin Dai, Zhouheng Yao, Chunfeng Song +7
Brain decoding aims to reconstruct visual perception of human subject from fMRI signals, which is crucial for understanding brain's perception mechanisms. Existing methods are conf…
Harmonious Group Choreography with Trajectory-Controllable Diffusion
Yuqin Dai, Wanlu Zhu, Ronghui Li +5
Creating group choreography from music is crucial in cultural entertainment and virtual reality, with a focus on generating harmonious movements. Despite growing interest, recent a…
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…
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…