Falling Echoes: Expressing the Act of Falling in Dreams Through Generative AI

Sijia Liu, Kexue Fu, Xiaoke Zeng, RAY LC*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

27 Downloads (CityUHK Scholars)

Abstract

Recurring dreams of falling often symbolize uncertainties and anxieties, reflecting a perception of losing control. On the other hand, exploring these dreams may empower individuals to confront such negative emotions. In this work, we interviewed 15 participants regarding their narratives of falling dreams. We analyzed these narratives to extract the patterns as keywords and phrases, which were then used as prompts to create videos for each pattern using the text-to-image tool Stable Diffusion Deforum. The outcomes from the generation were displayed in an exhibition, immersing audiences in the sensation of falling as depicted in the interviewees’ dreams. This work underscores the capacity of GenAI to enable an expressive re-interpretation of common everyday experiences.
Original languageEnglish
Title of host publicationProceedings of the 29th International Symposium on Electronic Arts
Subtitle of host publicationISEA2024 Everywhen Proceedings. Volume 1: Academic Papers
EditorsGavin Sade, Andrew Brown, Leah Barclay
Pages467-475
Number of pages9
ISBN (Electronic)978-1-925553-55-0
DOIs
Publication statusPublished - Jun 2024
Event29th International Symposium on Electronic Art (ISEA 2024) - Brisbane Convention & Exhibition Centre, Brisbane, Australia
Duration: 21 Jun 202429 Jun 2024
https://isea2024.isea-international.org/welcome/

Conference

Conference29th International Symposium on Electronic Art (ISEA 2024)
PlaceAustralia
CityBrisbane
Period21/06/2429/06/24
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Research Keywords

  • Dream Visualization
  • Generative AI
  • Immersive Art
  • AIGC

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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