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

Author:

Wu Jingyu1ORCID,Chen Shi2ORCID,Gan Shuyu1ORCID,Li Weijun1ORCID,Yang Changyuan1ORCID,Sun Lingyun2ORCID

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

Reference74 articles.

1. Chaitanya Ahuja , Dong Won Lee , Yukiko I Nakano, and Louis-Philippe Morency. 2020 . Style transfer for co-speech gesture animation: A multi-speaker conditional-mixture approach. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVIII 16. Springer , 248--265. Chaitanya Ahuja, Dong Won Lee, Yukiko I Nakano, and Louis-Philippe Morency. 2020. Style transfer for co-speech gesture animation: A multi-speaker conditional-mixture approach. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVIII 16. Springer, 248--265.

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

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