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Pregled bibliografske jedinice broj: 1229178

Understanding and Creating Art with AI: Review and Outlook


Cetinic, Eva; She, James
Understanding and Creating Art with AI: Review and Outlook // ACM Transactions on Multimedia Computing, Communications, and Applications, 18 (2022), 2; 1-22 doi:10.1145/3475799 (međunarodna recenzija, članak, znanstveni)


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Naslov
Understanding and Creating Art with AI: Review and Outlook

Autori
Cetinic, Eva ; She, James

Izvornik
ACM Transactions on Multimedia Computing, Communications, and Applications (1551-6857) 18 (2022), 2; 1-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
AI Art, deep learning, generative art, computational creativity, generative adversarial networks, convolutional neural networks, visual arts, image understanding

Sažetak
Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. The growing number of research initiatives and creative applications that emerge in the intersection of AI and art motivates us to examine and discuss the creative and explorative potentials of AI technologies in the context of art. This article provides an integrated review of two facets of AI and art: (1) AI is used for art analysis and employed on digitized artwork collections, or (2) AI is used for creative purposes and generating novel artworks. In the context of AI-related research for art understanding, we present a comprehensive overview of artwork datasets and recent works that address a variety of tasks such as classification, object detection, similarity retrieval, multimodal representations, and computational aesthetics, among others. In relation to the role of AI in creating art, we address various practical and theoretical aspects of AI Art and consolidate related works that deal with those topics in detail. Finally, we provide a concise outlook on the future progression and potential impact of AI technologies on our understanding and creation of art.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Likovne umjetnosti, Interdisciplinarno umjetničko polje



POVEZANOST RADA


Profili:

Avatar Url Eva Cetinić (autor)

Poveznice na cjeloviti tekst rada:

doi arxiv.org

Poveznice na istraživačke podatke:

doi.org

Citiraj ovu publikaciju:

Cetinic, Eva; She, James
Understanding and Creating Art with AI: Review and Outlook // ACM Transactions on Multimedia Computing, Communications, and Applications, 18 (2022), 2; 1-22 doi:10.1145/3475799 (međunarodna recenzija, članak, znanstveni)
Cetinic, E. & She, J. (2022) Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing, Communications, and Applications, 18 (2), 1-22 doi:10.1145/3475799.
@article{article, author = {Cetinic, Eva and She, James}, year = {2022}, pages = {1-22}, DOI = {10.1145/3475799}, keywords = {AI Art, deep learning, generative art, computational creativity, generative adversarial networks, convolutional neural networks, visual arts, image understanding}, journal = {ACM Transactions on Multimedia Computing, Communications, and Applications}, doi = {10.1145/3475799}, volume = {18}, number = {2}, issn = {1551-6857}, title = {Understanding and Creating Art with AI: Review and Outlook}, keyword = {AI Art, deep learning, generative art, computational creativity, generative adversarial networks, convolutional neural networks, visual arts, image understanding} }
@article{article, author = {Cetinic, Eva and She, James}, year = {2022}, pages = {1-22}, DOI = {10.1145/3475799}, keywords = {AI Art, deep learning, generative art, computational creativity, generative adversarial networks, convolutional neural networks, visual arts, image understanding}, journal = {ACM Transactions on Multimedia Computing, Communications, and Applications}, doi = {10.1145/3475799}, volume = {18}, number = {2}, issn = {1551-6857}, title = {Understanding and Creating Art with AI: Review and Outlook}, keyword = {AI Art, deep learning, generative art, computational creativity, generative adversarial networks, convolutional neural networks, visual arts, image understanding} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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