Cultural Self-Adaptive Multimodal Gesture Generation Based on Multiple Culture Gesture Dataset-Reference-Cited by-同舟云学术

Cultural Self-Adaptive Multimodal Gesture Generation Based on Multiple Culture Gesture Dataset

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
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Author:

Wu Jingyu¹^ORCID,Chen Shi²^ORCID,Gan Shuyu¹^ORCID,Li Weijun¹^ORCID,Yang Changyuan¹^ORCID,Sun Lingyun²^ORCID

Affiliation:

1. College of Computer Science and Technology, Hangzhou, China

2. Zhejiang-Singapore Innovation and AI Joint Research Lab, Hangzhou, China

Funder

the Ng Teng Fong Charitable Foundation in the form of ZJU-SUTD IDEA Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611705

Reference74 articles.

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2. Language2Pose: Natural Language Grounded Pose Forecasting

3. Simon Alexanderson , Gustav Eje Henter , Taras Kucherenko, and Jonas Beskow. 2020 a. Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows. In Computer Graphics Forum, Vol. 39 . Wiley Online Library , 487--496. Simon Alexanderson, Gustav Eje Henter, Taras Kucherenko, and Jonas Beskow. 2020a. Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows. In Computer Graphics Forum, Vol. 39. Wiley Online Library, 487--496.

4. Generating coherent spontaneous speech and gesture from text

5. Automatic text‐to‐gesture rule generation for embodied conversational agents