Show simple item record

dc.contributor.authorFarmer, Collin J.
dc.date.accessioned2023-08-14T16:07:28Z
dc.date.available2023-08-14T16:07:28Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/20.500.12648/11678
dc.description.abstractThis paper explores the intersection of art and artificial intelligence (AI) and investigates the potential impact of AI on the art world. Specifically, the author utilizes a diffusion model AI algorithm to generate synthetic images that replicate their own unique artistic style. The project is designed to train the AI on a dataset of the author's hand-made drawings and enable it to generate new artwork that closely matches their style. The paper discusses the effectiveness of the diffusion model AI algorithm and its ability to produce high-quality artwork based on textual prompts. The results demonstrate that the AI-generated artwork closely resembles the author's original hand-drawn pieces, highlighting the potential of AI to replicate artistic styles. The paper concludes by considering the ethical implications of AI-generated artwork and the need for artists to explore its capabilities and limitations to better understand its impact on the arts and society.
dc.subjectFirst Reader Hakan Topal
dc.subjectSenior Project
dc.subjectSemester Spring 2023
dc.titleAdapting Imitation: Examining the Intersection of Art and AI Through a Comparative Study of Human and Machine Creativity
dc.typeSenior Project
refterms.dateFOA2023-08-14T16:07:28Z
dc.description.institutionPurchase College SUNY
dc.description.departmentNew Media
dc.description.degreelevelBachelor of Arts
dc.description.advisorTopal, Hakan
dc.date.semesterSpring 2023
dc.accessibility.statementPurchase College - State University of New York (PC) is committed to ensuring that people with disabilities have an opportunity equal to that of their nondisabled peers to participate in the College’s programs, benefits, and services, including those delivered through electronic and information technology. If you encounter an access barrier with a specific item and have a remediation request, please contact lib.ir@purchase.edu.


Files in this item

Thumbnail
Name:
6276_Collin_Farmer.pdf
Size:
4.798Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record