Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors
August 11, 2022 Β· Declared Dead Β· π Proc. ACM Hum. Comput. Interact.
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Authors
Inan Evin, Perttu HΓ€mΓ€lΓ€inen, Christian Guckelsberger
arXiv ID
2208.05701
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.MM
Citations
16
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
4 months ago
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.
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