Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors

Inan Evin, Perttu Hämäläinen, Christian Guckelsberger*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
130 Downloads (Pure)

Abstract

Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged to semi-automate cutscene production, the results typically lack the internal consistency and uniformity in style that is characteristic of professional human directors. We overcome this shortcoming with Cine-AI, an open-source procedural cinematography toolset capable of generating in-game cutscenes in the style of eminent human directors. Implemented in the popular game engine Unity, Cine-AI features a novel timeline and storyboard interface for design-time manipulation, combined with runtime cinematography automation. Via two user studies, each employing quantitative and qualitative measures, we demonstrate that Cine-AI generates cutscenes that people correctly associate with a target director, while providing above-average usability. Our director imitation dataset is publicly available, and can be extended by users and film enthusiasts.
Original languageEnglish
Article number223
Number of pages23
JournalProceedings of the ACM on Human-Computer Interaction
Volume6
Issue numberCHI PLAY
DOIs
Publication statusPublished - 29 Oct 2022
MoE publication typeA1 Journal article-refereed
EventACM SIGCHI Annual Symposium on Computer-Human Interaction in Play - Bremen, Germany
Duration: 2 Nov 20225 Nov 2022
Conference number: 9
https://chiplay.acm.org/2022/

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