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C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model

Co-speech gesture generation is crucial for automatic digital avatar animation. However, existing methods suffer from issues such as unstable training and temporal inconsistency, particularly in generating high-fidelity and comprehensive gestures. Additionally, these methods lack effective control over speaker identity and temporal editing of the generated gestures.

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Cite this as

Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin (2024). Dataset: C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model. https://doi.org/10.57702/6acjrrad

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2308.15016
Author Longbin Ji
More Authors
Pengfei Wei
Yi Ren
Jinglin Liu
Chen Zhang
Xiang Yin
Homepage https://c2g2-gesture.github.io/c2 gesture/