Scripted Spaces - An Approach to Generative AI for 3D Spaces

Andreas Kratky*, Michael Overton Brown, Samantha Chuang, Quinn Liu

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Generative AI has found its way into creative production in a variety of ways. The creation of spatial structures, though, has been largely absent from AI-based generation processes. The main reason for this absence is the lack of training data sets with pairs of 3d-structures and descriptive text. With this project we are exploring possible approaches of generating such pairs. Film scripts and their corresponding film images represent a rich resource for spatial structures and their descriptions. We are investigating methods to leverage this resource by identifying descriptive passages and correlating them with 3-dimensional reconstructions of the corresponding spatial structures.
Original languageEnglish
Title of host publicationHCI International 2025 Posters
Subtitle of host publication27th International Conference on Human-Computer Interaction, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part VII
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
PublisherSpringer Cham
Pages89-98
Number of pages10
Edition1st
ISBN (Electronic)9783031941689
ISBN (Print)9783031941672
DOIs
Publication statusPublished - 6 Jun 2025
Event27th International Conference on Human-Computer Interaction, HCII 2025 - Gothenburg, Sweden
Duration: 22 Jun 202527 Jun 2025

Publication series

NameCommunications in Computer and Information Science
Volume2528
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937
NameHCII: International Conference on Human-Computer Interaction

Conference

Conference27th International Conference on Human-Computer Interaction, HCII 2025
Country/TerritorySweden
CityGothenburg
Period22/06/2527/06/25

User-Defined Keywords

  • Gaussian Splatting
  • Generative AI
  • Movies
  • Spatial Representation
  • Training Data

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