Kavli Affiliate: Matthew Fisher
| First 5 Authors: Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois
| Summary:
Creating animation takes time, effort, and technical expertise. To help
novices with animation, we present LogoMotion, an AI code generation approach
that helps users create semantically meaningful animation for logos. LogoMotion
automatically generates animation code with a method called visually-grounded
code synthesis and program repair. This method performs visual analysis,
instantiates a design concept, and conducts visual checking to generate
animation code. LogoMotion provides novices with code-connected AI editing
widgets that help them edit the motion, grouping, and timing of their
animation. In a comparison study on 276 animations, LogoMotion was found to
produce more content-aware animation than an industry-leading tool. In a user
evaluation (n=16) comparing against a prompt-only baseline, these
code-connected widgets helped users edit animations with control, iteration,
and creative expression.
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