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Co-speech gestures, if presented in the lively form of videos, can achieve superior visual effects in human-machine interaction.
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Gesture: Visible action as utterance
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Jason R Wilson, Nah Young Lee, Annie Saechao, Sharon Hershenson, Matthias Scheutz, and Linda Tickle-Degnen · 2017
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Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A Bharath · 2018
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Robots learn social skills: End-to-end learning of co-speech gesture generation for humanoid robots
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Chaitanya Ahuja, Dong Won Lee, Ryo Ishii, and Louis-Philippe Morency · 2020
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Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, and Qifeng Chen · 2022
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Chaitanya Ahuja, Dong Won Lee, Yukiko I Nakano, and Louis-Philippe Morency · 2020
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Style-controllable speech-driven gesture synthesis using normalising flows
Simon Alexanderson, Gustav Eje Henter, Taras Kucherenko, and Jonas Beskow · 2020
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar · 2020
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Motionet: 3d human motion reconstruction from monocular video with skeleton consistency
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The genea challenge 2022: A large evaluation of data-driven co-speech gesture generation
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Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation
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Faster segment anything: Towards lightweight sam for mobile applications
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Enhancing expressiveness in dance generation via integrating frequency and music style information
Qiaochu Huang, Xu He, Boshi Tang, Haolin Zhuang, Liyang Chen, Shuochen Gao, Zhiyong Wu, Haozhi Huang, and Helen Meng · 2024
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