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

Key Points

• 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