Diffusions in architecture : artificial intelligence and image generators / edited by Matias del Campo.

Contributor(s): Campo, Matias del [editor.]
Language: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2024]Description: 1 online resource (354 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781394191772 ; 9781394191802; 1394191804; 9781394191796; 1394191790Subject(s): Architecture -- Data processing | Architecture -- Computer-aided design | Artificial intelligenceGenre/Form: Electronic books.DDC classification: 720.285/63 LOC classification: NA2728 | .D54 2024Online resources: https://onlinelibrary.wiley.com/doi/book/10.1002/9781394191802 Summary: Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Generative AI models and their effect on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture and changing the way architects approach their work. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that are both realistic and imaginative, creating new possibilities for architectural design and aesthetics.
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720.28563 D5689 2024 (Browse shelf) Available
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Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Generative AI models and their effect on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture and changing the way architects approach their work. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that are both realistic and imaginative, creating new possibilities for architectural design and aesthetics.

About the Author
Matias del Campo is a registered architect, designer, and educator. He is an Associate Professor at Taubman College of Architecture and Urban Planning, University of Michigan, director of AR2 IL – The Architecture and Artificial Intelligence Laboratory at UoM, and an affiliate faculty member of Michigan Robotics and Data Science. Matias del Campo is the co-founder of the architecture practice SPAN. His previous publications include Neural Architecture - Design and Artificial Intelligence (ORO Editions 2022) and Sublime Bodies (co-authored with Sandra Manninger, Tongji Press 2017)

Lev Manovich is a Presidential Professor at The Graduate Center, City University of New York, and the founder and director of the Cultural Analytics Lab. He is an artist, writer, and one of the most influential theorists of digital culture worldwide.

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