3D-GAN in Architecture

-artificial intelligence,-advanced computation,-computational design,- design fiction | - online workshop | -English

Description:

Required Skills: Rhino, Photoshop - Beginner

Required Software: Rhino 7, Maya, Houdini, Keyshot, Photoshop

Required Hardware: Laptop or PC
Maximum number of participating students: 100

This workshop explores speculative design methodologies of spatial generative adversarial networks (GANs) with architectural 3D datasets. More precisely we train 3D models of vernacular intelligence in order to generate hybrid objects through the help of artificial intelligence (AI). The workshop will introduce the participants to the basics of deep neural networks and machine learning (ML) in architecture and how 3D-GAN processes can be used as vehicles for architectural innovation and speculation. As part of the learning outcomes, the latest AI processes, 3D modeling, texture mapping, and visualization will be taught through lectures, tutorials, and desk crits. The results will be a series of AI-generated depictions of architectural 3D models.

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Schedule:

timezone: (GMT -6:00) Central Time (US & Canada), Mexico City
Start timeEnd timeDescription
2022-06-27 - 13:002022-06-27 - 16:00Intro + Rhino Tutorial
2022-06-28 - 13:002022-06-28 - 15:00Review
2022-06-29 - 13:002022-06-29 - 16:00Lecture - Tutorial Houdini + Keyshot
2022-06-30 - 13:002022-06-30 - 17:00Review - Tutorial Maya UV Texturing
2022-07-01 - 13:002022-07-01 - 17:00Review - Technical trouble shooting
2022-07-02 - 13:002022-07-02 - 17:00Review - Technical trouble shooting
2022-07-03 - 13:002022-07-03 - 15:00Final Review

Instructors:

Benjamin Ennemoser Benjamin Ennemoser is an Assistant Professor at Texas A&M University and has previously taught and lectured at UCLA, the University of Innsbruck, the University of Applied Arts in Vienna, and the Yun-Tech University in Taiwan. He has received several fellowships and grants and his research on computational design, digital fabrication, robotics, XR, and artificial intelligence was published and presented in international journals, conferences, and academic institutions such as the AA London, Technical University of Berlin, Tongji University, EPFL, and the NJIT. He is a licensed architect in the EU and founded his own practice in 2016 and most recently collaborated with Google R&D for the Built Environment and Gensler DxD as a technology consultant and design lead.
Ingrid Mayrhofer-Hufnagl Ingrid Mayrhofer-Hufnagl is a licensed architect, researcher, and educator. She is an assistant professor for architecture and urban design in the School of Architecture at the University of Innsbruck where she also gained her doctoral degree. In the past, she has been a visiting scholar at Yale School of Architecture in New Haven and the ETH in Zürich, and has taught and lectured at several institutions. Her research has been supported by the Austrian Federal Ministry of Arts and Culture, the Ministry of Science and Research, the Young Scientist’s program by the University of Innsbruck amongst others. Prior to her teaching career, she worked as a project architect and lead designer for international architectural practices in Beijing, Berlin and Vienna.
Quinn McCormack Quinn McCormack is a Undergraduate student at Texas A&M with a focus on computation design, digital fabrication, procedural modeling, and AI in Architecture. He further explores these topics through a contemporary lens of aesthetics in the age of digitization. Using this expertise he has lectured at University of Innsbruck, received a Grant from the Academy of Performing and Visual Arts, and is currently the lead researcher for Benjamin Ennomoser and Gabriel Esquivel.

Disclaimer:
All workshops will accept 100 applications MAX.