@inproceedings{aeb8d2dd719949e5adc0b00f1bdc73d5,
title = "Scripted Spaces - An Approach to Generative AI for 3D Spaces",
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.",
keywords = "Gaussian Splatting, Generative AI, Movies, Spatial Representation, Training Data",
author = "Andreas Kratky and Brown, {Michael Overton} and Samantha Chuang and Quinn Liu",
note = "This project was funded by the AIMS Award of the University of Southern California Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 27th International Conference on Human-Computer Interaction, HCII 2025 ; Conference date: 22-06-2025 Through 27-06-2025",
year = "2025",
month = jun,
day = "6",
doi = "10.1007/978-3-031-94168-9_9",
language = "English",
isbn = "9783031941672",
series = "Communications in Computer and Information Science",
publisher = "Springer Cham",
pages = "89--98",
editor = "Constantine Stephanidis and Margherita Antona and Stavroula Ntoa and Gavriel Salvendy",
booktitle = "HCI International 2025 Posters",
edition = "1st",
}