Automated urban landscape design: an AI-driven model for emotion-based layout generation and appraisal.

ABSTRACT: The evolution of a city is significantly shaped by the design of its urban landscape. The advancement of artificial intelligence has substantially increased convenience for individuals. This research proposes an urban landscape layout model powered by artificial intelligence that automatically generates urban landscape design based on deep learning (URDDL) with two dimensions: emotional tendency and urban landscape appraisal. The input image represents land use and surrounding road conditions, while the output image depicts the selection of the main entrance and the internal spatial function layout. The Pix2Pix model is trained to learn the internal function layout based on varying land use and road conditions. Additionally, a domain-specific dictionary is constructed using an existing sem

SUBMITTER: Tang X 

PROVIDER: S-EPMC11623217 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature