most citedRopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior

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cs.SD2024★ 1 cited

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…

cs.SD2024

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…