7 citations · 15 across the 11 of their papers we have counts for
12 papers · 1 filter
InfiniteDance: Scalable 3D Dance Generation Towards in-the-wild Generalization
Ronghui Li, Zhongyuan Hu, Li Siyao +6
Although existing 3D dance generation methods perform well in controlled scenarios, they often struggle to generalize in the wild. When conditioned on unseen music, existing method…
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation
Yukang Lin, Yan Hong, Zunnan Xu +10
Recent video generation research has focused heavily on isolated actions, leaving interactive motions-such as hand-face interactions-largely unexamined. These interactions are esse…
A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions
Youliang Zhang, Ronghui Li, Yachao Zhang +4
Extracting physically plausible 3D human motion from videos is a critical task. Although existing simulation-based motion imitation methods can enhance the physical quality of dail…
InterDance:Reactive 3D Dance Generation with Realistic Duet Interactions
Ronghui Li, Youliang Zhang, Yachao Zhang +6
Humans perform a variety of interactive motions, among which duet dance is one of the most challenging interactions. However, in terms of human motion generative models, existing w…
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward
Haonan Han, Xiangzuo Wu, Huan Liao +5
Recently, text-to-motion models have opened new possibilities for creating realistic human motion with greater efficiency and flexibility. However, aligning motion generation with…
Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns
Ronghui Li, Hongwen Zhang, Yachao Zhang +6
We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and vivid dances given the music and desired genre. To handle the challenges in computational eff…