LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation
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Abstract (arXiv)
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.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 May 2024.
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Citing papers per year: 2025: 5; 2026: 5.
10 papers.
- 2025DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generationcited by 45
- 2025LayerD: Decomposing Raster Graphic Designs into Layerscited by 21
- 2025MoVer: Motion Verification for Motion Graphics Animationscited by 10
- 2025MapStory: Prototyping Editable Map Animations with LLM Agentscited by 3
- 2026Training and Agentic Inference Strategies for LLM-based Manim Animation Generationcited by 2
- 2025MG-Gen: Single Image to Motion Graphics Generationcited by 0
- 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generationcited by 0
- 2026fog: Expressing Motion and Emotion through Function Composition of AI-Generated Codecited by 0
- 2026Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Controlcited by 0
- 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Productioncited by 0
- 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production9 Sep 2026
- 2026Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Control11 Jul 2026
- 2026fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code8 Jul 2026
- 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation26 Jun 2026
- 2026Training and Agentic Inference Strategies for LLM-based Manim Animation Generation20 Apr 2026
- 2025LayerD: Decomposing Raster Graphic Designs into Layers29 Sep 2025
- 2025DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation6 Jun 2025
- 2025MapStory: Prototyping Editable Map Animations with LLM Agents28 May 2025
- 2025MG-Gen: Single Image to Motion Graphics Generation3 Apr 2025
- 2025MoVer: Motion Verification for Motion Graphics Animations19 Feb 2025