계산착오 이미지 - 알고리즘의 도전 -
Miscalculation Image - Algorithm’s Challenge -
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
This study aims to examine the artistic potential and potential of images created by an artificial intelligence algorithm through 'miscalculation'. GAN is a generative model that is optimized to create fake images similar to the real thing, and StyleGAN is widely used in platforms that provide images of fake people. In this study, images generated due to algorithm errors were collected and then classified into 12 types. The visual effect shown by these images is astonishing and outstanding as it cannot be found in the history of art or photography. In fact, as algorithms intervene in the production of works of art, the issue of creativity in artificial intelligence is a matter of utmost concern. Here, the prevailing view is that algorithms cannot produce creative images due to program’s limitations. Conversely, this study asserts the creative potential of artificial intelligence algorithms based on the innovative results shown by images of miscalculation. At this time, artificial intelligence can expand human vision by providing a new visual experience that has not been experienced in the past.
Abstract
This study aims to examine the artistic potential and potential of images created by an artificial intelligence algorithm through 'miscalculation'. GAN is a generative model that is optimized to create fake images similar to the real thing, and StyleGAN is widely used in platforms that provide images of fake people. In this study, images generated due to algorithm errors were collected and then classified into 12 types. The visual effect shown by these images is astonishing and outstanding as it cannot be found in the history of art or photography. In fact, as algorithms intervene in the production of works of art, the issue of creativity in artificial intelligence is a matter of utmost concern. Here, the prevailing view is that algorithms cannot produce creative images due to program’s limitations. Conversely, this study asserts the creative potential of artificial intelligence algorithms based on the innovative results shown by images of miscalculation. At this time, artificial intelligence can expand human vision by providing a new visual experience that has not been experienced in the past.
참고문헌 (19)
- Boden, Margaret A, "Computer Models of creativity", AI Magazine (2009)
- Breton, André, "Manifeste du surréalisme" (1962), Jean-Jacques Pauvert. Folio essais
- Frizot, Michel, "Les Métamorphoses de l’image: photo-graphismes et détournements de sens. Nouvelle histoire de la photographie" (2001), Larousse
- Goodfellow, Ian, "Generative Adversarial Nets", arXiv:1406.266.1v1, ~ (2014)
- "2017", ~
- Karras, Tero, "Progressive Growing of GANs for improved quality, stability, and variation", arXiv:1710.10196v3, ~ (2018)
- Karras, Tero, "A Style-Based Generator Architecture for Generative Adversarial Networks", arXiv:1812.04948v3, ~ (2019)
- Karras, Tero, "Analyzing and Improving the Image Quality of StyleGAN", arXiv:1912.04958v2, ~ (2020)
- Lacan, Jacques, "L’Anamorphose. Quatre concepts fondamentaux de la psychanalyse" (1973), Seuil
- McCarthy, John, "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence", AI Magazine, 27(4) (1955)
- Minsky, Marvin, "Step"Toward Artificial Intelligence"", pp.1960
- Mitchell, William J., "The Reconfigured Eye : visual truth in the post-photogrphic era" (1992), The MIT Press
- Panofsky, Erwin, "La Perspective comme forme symbolique" (1967), Minuit
- Poivert, Michel, "La photographie contemporaine" (2002), Flammarion
- "Galapagos" (1977)[URL]
- 데이비드 호크니, "명화의 비밀" (2003), 한길아트
- 크리스티안 폴, "디지털 아트" (2003), 시공사
