DIFFUSIONS IN ARCHITECTURE
A guide to diffusion models and their impact on design, with insight on how this novel artificial intelligence technology may disrupt the industry
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.
Twenty-two leading designers and theorists offer their insights, providing disciplinary depth by covering the full impact of these learning tools on architecture.
Preface by:
Lev Manovich
Edited by:
Matias del Campo (University of Michigan)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions:
Height: 274mm,
Width: 213mm,
Spine: 25mm
Weight: 1.066kg
ISBN: 9781394191772
ISBN 10: 1394191774
Pages: 352
Publication Date: 02 May 2024
Audience:
Professional and scholarly
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Acknowledgments xi Contents xii Preface xvi Lev Manovich Prologue xxiv Matias del Campo Suppositions 1 Rice or Pasta? Choose Your AI 2 Mario Carpo Taxonomy 6 Matias del Campo Diffusions 10 Bart Lootsma The Labors of AI 18 Sandra Manninger An Artificial Tale 28 Ryan Vincent Manning Resistance Is Fertile 38 Joy Knoblauch Ontology of Diffusion Models 44 Matias del Campo Taxonomy Commorancies 55 The Etiology of a New Collective Architecture 56 Kory Bieg Noise, Pixels, and Ancient Metamorphic Rocks 66 Matias del Campo Timberpunk, Prompt Odyssey, Synthetic Ground, and Other Projects 78 Soomeen Hahm and Hanjun Kim Computation Past Forward 88 Marco Vanucci Diffusion Models 98 Alicia Nahmad Vazquez Vestures 109 Design as a Latent Condition 110 Daniel Bolojan AI, Architecture, and Art 120 Niccolo Casas The Advent of Trees in Architecture 13 Daniel Köhler Five Points of Architecture and AI 140 Andrew Kudless De-Coding Visual Cliches and Verbal Biases 15 Sina Mostafavi and Asma Mehan Light Architecture 160 Rasa Navasaityte Driftwood Rock 170 Igor Pantic Digital Spoliare 180 Dustin White Estrangements 191 Imago Mundi Imaginibus Mundi 192 Cesare Battelli 3D Diffusion or 3D Disfiguration? 202 Immanuel Koh Role Play 212 Elena Manferdini The Doghouse 222 Sandra Manninger Do Humans Dream of Furry Houses? 232 Virginia San Fratello Allies in Exile 242 Kyle Steinfeld Appendix 253 Epilogue 254 Matias del Campo Glossary 256 Contributor Profiles 264 References 268 Bibliography 284 Index 286 Image Credits 290 About the Author 323
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.
