| id |
sigradi2023_80 |
| authors |
Sardenberg, Victor, Guatelli, Igor and Becker, Mirco |
| year |
2023 |
| title |
A Walk Through the Latent Space Using Computational Aesthetics as a Compass |
| source |
García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1501–1512 |
| summary |
Generative Adversarial Network (GAN) models produce a latent space where many new images emerge. These models translate vectors from a latent space of possible designs into actual images, introducing a new degree of variability to the concept of objectile. This research proposes applying a computational aesthetics framework to navigate the latent space and present the designer with new images for feeding their imagination. Theories of parts to whole from aesthetics and cognitive psychology are combined with Birkhoff’s aesthetic measure and computer vision to predict aesthetic preferences and map the latent space. |
| keywords |
Artificial Intelligence, Computational aesthetics, Generative design, Computer vision, Latent space. |
| series |
SIGraDi |
| email |
sardenberg@iat.uni-hannover.de |
| full text |
 file.pdf (819,875 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/03/08 14:08 |
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