2023 | Professional

MUSE Design Awards Silver Winner

AI and the Resonant Gallery of Chinese Classical Art

Entrant Company

Nanjing Toushi Intelligent System Co., Ltd

Category

Interior Design - Showroom / Exhibit

Client's Name

Nanjing Toushi Intelligent System Co., Ltd

Country / Region

China

Harnessing the potential of AI technology, this experience gallery constructs an immersive aesthetic scene inspired by Chinese classical art, an environment that actively engages user participation. In contrast to conventional art forms, the scene offers fresh affordances in aesthetic education, adeptly satisfying users' interests and desires to comprehend and appreciate Chinese classical art. The design process is as follows:
Firstly, collaborate with art scholars and AI engineers to develop algorithms that capture the quintessence of traditional Chinese aesthetics.
Secondly, spark fresh innovation within traditional aesthetics, particularly in the foundational aspect of ink landscape painting, and prompt new artistic compositions by applying the algorithms and leveraging AIGC technology.
Thirdly, innovate the development of immersive, interactive, enhanced, and generative new media arts/technologies for emerging traditional artworks. Fuse these elements to shape an entirely fresh aesthetic realm.
Lastly, guide users to proactively interact with AI algorithms, employing artificial intelligence to create traditional aesthetic pieces focused on the theme of "self." Fulfil the overarching goal of "AI-facilitated aesthetic education."
Notably, the design of this experience gallery boasts a compelling attribute: a capacity for self-growth. As the algorithms progressively master the inherent meanings and underlying logic of core elements in Chinese classical aesthetics, alongside the continuous development of computing capacity, the gallery is poised to transform into an entity melding the "cosmos of Chinese classical aesthetics." This project's attendant aesthetic significance, societal advantages, and commercial prospects are much expected.

Credits

Chairman/Nanjing Toushi Intelligent System Co., Ltd
Fengfeng Sun
Professor of Nanjing University
Lin Qi
Nanjing Toushi Intelligent System Co., Ltd
Hui Lv
Deputy Dean of School of Digital Art/Nanjing Institute of Information Technology
Yanyu Wei
Designer/ Nanjing Toushi Intelligent System Co., Ltd
Yangyang Tang
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