Music-to-Dance Generation with Multiple Conformer-Reference-Cited by-同舟云学术

Music-to-Dance Generation with Multiple Conformer

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
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Author:

Zhang Mingao¹,Liu Changhong¹,Chen Yong²,Lei Zhenchun¹,Wang Mingwen¹

Affiliation:

1. Jiangxi Normal University, Nanchang, China

2. Nanchang Institute of Technology, Nanchang, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531430

Reference26 articles.

1. ChoreoMaster

2. Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio

3. Satoru Fukayama and Masataka Goto . 2015 . Music content driven automated choreography with beat-wise motion connectivity constraints . In Proceedings of the 12th Sound and Music Computing Conference. 177--183 . Satoru Fukayama and Masataka Goto. 2015. Music content driven automated choreography with beat-wise motion connectivity constraints. In Proceedings of the 12th Sound and Music Computing Conference. 177--183.

4. Conformer: Convolution-augmented Transformer for Speech Recognition

5. Learning Speech-driven 3D Conversational Gestures from Video

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