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LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation

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arxiv 2405.07065 v2 pith:IDBRMN5W submitted 2024-05-11 cs.HC

LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation

classification cs.HC
keywords animationcodelogomotionanimationscode-connectedcreatingeditediting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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Cited by 2 Pith papers

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  1. Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools

    cs.AI 2026-07 conditional novelty 6.0

    Generative UI tools' stated design rationales are not fully implemented in about 25% of cases, with functional requirements failing most often.

  2. Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools

    cs.AI 2026-07 conditional novelty 6.0

    Across five generative UI tools, about 25% of stated design rationales are not fully implemented, functional UX principles fail at near-zero rates in most tools, and outputs converge visually and in layout.