We produced a short educational cartoon using novel generative AI workflows. Educational videos are under-served relative to entertainment videos, and educators don't generally have the skill or talent to produce animations that teach real concepts. We adopted a 2D style because it can be more forgiving of the kind of geometric inconsistencies that generative AI sometimes produces, which limit the perceived quality of realistic or 3D-style imagery. Our narrative occurs in a fantasy world with some non-human characters, giving further flexibility for variable appearance.
Previous generative animation projects have focused on automating story simulation and visual design, but in this work, our goal is to accelerate the process of character animation. We identified several promising workflows, bringing artists' vision to the screen more effectively.
@misc{guajardo2024,
title={Generative AI for 2D Character Animation},
author={Jaime Guajardo and Ozgun Bursalioglu and Dan B Goldman},
eprint={2405.11098},
archivePrefix={arXiv},
primaryClass={cs.GR},
year={2024}
}