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Massachusetts Institute of Technology

IlluSonnet: Using Generative AI to Create Illustrations for Sonnets

Abstract

dc:description.abstract

Poetry evokes imagery, and writers and readers alike desire to translate the artful wordplay to a beautiful image. To facilitate this process, we built IlluSonnet, a system that creates illustrations for poetry using text-to-image generative AI models. IlluSonnet works by labelling keywords, emotional qualities, and most related artistic style for the given sonnet before prompting DALL-E for an image. To evaluate IlluSonnet, we both ran a user study to assess the quality of the output images as well as the overall interface. Our study indicates that IlluSonnet helped users generate images that illustrated the sonnets well and that the process of creating and seeing imagery alongside the poem helped users understand the sonnets in a new light. We conclude by discussing how IlluSonnet can be used to further facilitate a deeper connection between both art and poetry.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Tiffany
Advisor dc:contributor.advisor
  • Mueller, Stefanie

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152797
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152797

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Chen, Tiffany. IlluSonnet: Using Generative AI to Create Illustrations for Sonnets. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152797