3 papers
cs.SD2026
ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance
Yongkang Cheng, Mingjiang Liang, Shaoli Huang +3
Existing gesture generation methods primarily focus on upper body gestures based on audio features, neglecting speech content, emotion, and locomotion. These limitations result in…
cs.GR2025
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen +2
Diffusion models have demonstrated remarkable synthesis quality and diversity in generating co-speech gestures. However, the computationally intensive sampling steps associated wit…
cs.SD2024
Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios
Yongkang Cheng, Mingjiang Liang, Shaoli Huang +3
Audio-driven simultaneous gesture generation is vital for human-computer communication, AI games, and film production. While previous research has shown promise, there are still li…