Developing an Applied Framework for Modeling Visual DNA for Visual Identity and Measuring its Effectiveness in Generating Consistent Visual Outputs Using Artificial Intelligence Techniques (An Applied Study on the Visual Identity of AlUla)
Abstract
This research aims to develop a visual DNA card for visual identity and measure its effectiveness in guiding AI-generated images, applied to the AlUla identity. The study relied on analyzing official AlUla images to extract recurring pictorial features, then converting them into a standardized card used to formulate guided generation prompts. The outputs were evaluated through a questionnaire administered to fifty participants, and the results showed that the card contributes to producing images more consistent with the visual identity.
