Camera Obscurer: Generative Art for Design Inspiration-Reference-Cited by-同舟云学术

Camera Obscurer: Generative Art for Design Inspiration

Published:2019 Issue: Volume: Page:51-68
ISSN:0302-9743
Container-title:Computational Intelligence in Music, Sound, Art and Design
language:
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Author:

Singh Dilpreet,Rajcic Nina,Colton Simon,McCormack Jon^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-16667-0_4

Reference38 articles.

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2. Elgammal, A., Liu, B., Elhoseiny, M., Mazzone, M.: CAN: creative adversarial networks generating “art” by learning about styles and deviating from style norms. In: Proceedings of the 8th International Conference on Computational Creativity (2017)

3. Reas, C., McWilliams, C.: LUST: Form+Code in Design, Art and Architecture. Princeton Architectural Press, New York (2010)

4. Lecture Notes in Computer Science;S Colton,2012

5. Sims, K.: Artificial evolution for computer graphics. Comput. Graph. 25(4), 319–328 (1991)

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