PirouNet:通过以艺术家为中心的深度学习创造舞蹈

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Arts and Technology Pub Date : 2022-07-21 DOI:10.1007/978-3-031-28993-4_31
Mathilde Papillon, M. Pettee, Nina Miolane
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PirouNet: Creating Dance Through Artist-Centric Deep Learning
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来源期刊
International Journal of Arts and Technology
International Journal of Arts and Technology Arts and Humanities-Visual Arts and Performing Arts
CiteScore
1.10
自引率
33.30%
发文量
18
期刊介绍: IJART addresses arts and new technologies, highlighting computational art. With evolution of intelligent devices, sensors and ambient intelligent/ubiquitous systems, projects are exploring the design of intelligent artistic artefacts. Ambient intelligence supports the vision that technology becomes invisible, embedded in our natural surroundings, present whenever needed, attuned to all senses, adaptive to users/context and autonomously acting, bringing art to ordinary people, offering artists creative tools to extend the grammar of the traditional arts. Information environments will be the major drivers of culture.
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