Architectural Intelligence—Harnessing AI for Design Intent
Luke Kratsios
Abstract
This thesis investigates and develops state-of-the-art technologies in the field of generative content and examines how designers can leverage inherent training biases and input data to swiftly generate textures and imagery for use within the design process.
Ultimately, the developed workflows aid in formulating a cohesive project vision from early stages. By combining proceduralization, simplified modeling techniques, and intelligent masking, the design process accelerates. This not only enables the creation of high-quality renders but more importantly, encourages a nuanced approach to design thinking.
Research Question
How Can the Real-time Masking and Layering of AI-generated Imagery Be Used to Effectively Realize and Refine Design Intent?
Author
- Name: Luke Kratsios
- LinkedIn: Link
- Institution: Cornell AAP
- Program: B.Arch
Advisors
- Christopher Battaglia
- Patrick Kastner
- Donald Greenberg
Technical Consultants
- John Wolford
- Leul Tesfaye
Keywords
Architectural Intelligence, AI, Design Intent, Generative Content, Proceduralization, Intelligent Masking
Source
Link to the thesis.