This study explores the integration of Generative AI into a Landscape Architecture Media course, focusing on the pedagogical strategies, student engagements, and ethical implications. Incorporating tools like Midjourney, Stable Diffusion (with ControlNet and LoRA), and Photoshop's Generative Fill, the course enables students to transcend traditional design paradigms, embracing a futureoriented approach to landscape architecture. This paper discusses the structured module designed to demystify AI concepts, providing hands-on experience, and examines student projects that showcase AI applications in visualizing landscape changes and generating high-quality renderings.
Autor / Author: | Liu, Xun |
Institution / Institution: | University of Southern California, California/USA |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 9-2024 |
Tagung / Conference: | Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology |
Veranstaltungsort, -datum / Venue, Date: | Vienna University of Technology, Austria 05-06-24 - 07-06-24 |
Schlüsselwörter (de): | |
Keywords (en): | Generative AI, design pedagogy, Stable Diffusion, artificial intelligence |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537752088 |
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