Zhu, Zhao Wei (A.A. 2022/2023) AI tools assisted drawing: the opportunity of digital innovation in bridging traditional and digital art. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 30. [Bachelor's Degree Thesis]

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Abstract/Index

The evolution of art: from traditional to digital. A brief introduction to art history. Why do we need to digitize our tools? Younger generation and NFTs. AI-assisted drawing tools: an overview. Definition and purpose of AI-assisted drawing tools. DALL-E and DALL-E 2. Stable diffusion. Midjourney. AI-assisted art education. Bridging the gap: how AI tools assist in the transition from traditional to digital art. Democratization. Academic formation. Locally installed AI tools. Implications and challenges of AI-assisted drawing. Ethical implications. Limitation of AI generated content. Social acceptance.

References

Bibliografia: pp. 28-29.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Artificial intelligence and machine learning
Thesis Supervisor:	Italiano, Giuseppe Francesco
Academic Year:	2022/2023
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	27 Sep 2023 12:42
Last Modified:	27 Sep 2023 12:42
URI:	https://tesi.luiss.it/id/eprint/36551

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