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The aim is to explore how generative adversarial networks can be applied to create new public art forms using parametric design algorithms.

Generative adversarial network and parametric design algorithm for public art form generation

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The aim is to explore how generative adversarial networks can be applied to create new public art forms using parametric design algorithms.
Utilized generative adversarial networks for generating art forms
Applied parametric design algorithms for the design process
Evaluated generated art forms for public exhibition potential
Generated diverse public art forms using AI technology
Demonstrated efficient design processes with parametric algorithms
Exhibited findings at various public spaces, enhancing community engagement with art

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Randomized trial demonstrates public art form generation using generative adversarial networks, suggesting innovative design solutions.

Qian Ye (2026) studied this question.

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