Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI

要旨

Great characters are critical to the success of many forms of media, such as comics, games, and films. Designing visually compelling casts of characters requires significant skill and consideration, and there is a lack of specialized tools to support this endeavor. We investigate how AI-driven image-generation techniques can empower creatives to explore a variety of visual design possibilities for individual and groups of characters. Informed by interviews with character designers, Paratrouper is a multi-modal system that enables creating and experimenting with multiple permutations for character casts and visualizing them in various contexts as part of a holistic approach to design. We demonstrate how Paratrouper supports different aspects of the character design process, and share insights from its use by eight creators. Our work highlights the interplay between creative agency and serendipity, as well as the visual interrelationships among character aesthetics.

著者
Joanne Leong
Autodesk Research, Toronto, Ontario, Canada
David Ledo
Autodesk Research, Toronto, Ontario, Canada
Thomas Driscoll
Autodesk Research, Toronto, Ontario, Canada
Tovi Grossman
University of Toronto, Toronto, Ontario, Canada
George Fitzmaurice
Autodesk Research, Toronto, Ontario, Canada
Fraser Anderson
Autodesk Research, Toronto, Ontario, Canada
DOI

10.1145/3706598.3714242

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714242

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Creative Tools

Annex Hall F205
7 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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