31 citations · 70 across the 8 of their papers we have counts for
8 papers
Human Motion Video Generation: A Survey
Haiwei Xue, Xiangyang Luo, Zhanghao Hu +12
Human motion video generation has garnered significant research interest due to its broad applications, enabling innovations such as photorealistic singing heads or dynamic avatars…
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
Xu He, Qiaochu Huang, Zhensong Zhang +7
Co-speech gestures, if presented in the lively form of videos, can achieve superior visual effects in human-machine interaction. While previous works mostly generate structural hum…
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
Haoyu Chen, Wenbo Li, Jinjin Gu +6
For image super-resolution (SR), bridging the gap between the performance on synthetic datasets and real-world degradation scenarios remains a challenge. This work introduces a nov…
Conversational Co-Speech Gesture Generation via Modeling Dialog Intention, Emotion, and Context with Diffusion Models
Haiwei Xue, Sicheng Yang, Zhensong Zhang +4
Audio-driven co-speech human gesture generation has made remarkable advancements recently. However, most previous works only focus on single person audio-driven gesture generation.…
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
Sicheng Yang, Zilin Wang, Zhiyong Wu +8
The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack o…
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023
Sicheng Yang, Haiwei Xue, Zhensong Zhang +5
In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which aims t…