| id |
ascaad2021_112 |
| authors |
Hassab, Ahmed; Sherif Abdelmohsen, Mohamed Abdallah |
| year |
2021 |
| title |
Generative Design Methodology for Double Curved Surfaces using AI |
| source |
Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 622-635 |
| summary |
Despite recent approaches to generate unique surfaces using generative design algorithms, there are still challenges including teaching machines how to learn and manipulate surfaces, thus generating novel and unique versions, and exploring possible alternatives in producing unique surfaces using artificial intelligence. This paper proposes a generative design approach using Al. We propose a generative design methodology for producing novel and unique surfaces by faking input surfaces using artificial intelligence networks. This workflow is applied to two different artificial networks: (1) CycleGAN, (2) Pix2Pix and Augmentor. This experimentation is introduced to apply two real surfaces generating two fake surfaces as a unique version through the networks. Upon running the CycleGANs, Pix2Pix, and a Grasshopper script, the experiment results demonstrated how the proposed generative design methodology using AI produced a unique surface version with a higher level of manipulation and result control. |
| series |
ASCAAD |
| email |
|
| full text |
 file.pdf (1,905,220 bytes) |
| references |
Content-type: text/plain
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| last changed |
2021/08/09 13:13 |
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