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MG-Gen: Single Image to Motion Graphics Generation

arXiv 2504.02361 ↗First posted 3 Apr 2025cs.GR cs.CVcited by 0

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Abstract (arXiv)

We introduce MG-Gen, a framework that generates motion graphics directly from a single raster image. MG-Gen decompose a single raster image into layered structures represented as HTML, generate animation scripts for each layer, and then render them into a video. Experiments confirm MG-Gen generates dynamic motion graphics while preserving text readability and fidelity to the input conditions, whereas state-of-the-art image-to-video generation methods struggle with them. The code is available at https://github.com/CyberAgentAILab/MG-GEN.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 35 references that are in the map. First posted on arXiv 3 Apr 2025.

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27 of 35 references.

References · 27

  1. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  2. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,708
  3. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,581
  4. 2022Video Diffusion Modelscited by 2,305
  5. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,778
  6. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,742
  7. 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,660
  8. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  9. 2023VideoComposer: Compositional Video Synthesis with Motion Controllabilitycited by 464
  10. 2024YOLOv11: An Overview of the Key Architectural Enhancementscited by 425
  11. 2024Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modelingcited by 211
  12. 2023Conditional Image-to-Video Generation with Latent Flow Diffusion Modelscited by 181
15 more
  1. 2023VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planningcited by 141
  2. 2024ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generationcited by 132
  3. 2023VideoBooth: Diffusion-based Video Generation with Image Promptscited by 126
  4. 2021CanvasVAE: Learning to Generate Vector Graphic Documentscited by 95
  5. 2021Make It Move: Controllable Image-to-Video Generation with Text Descriptionscited by 88
  6. 2023LLM-grounded Video Diffusion Modelscited by 83
  7. 2023Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animatorcited by 74
  8. 2023GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planningcited by 61
  9. 2024Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentationcited by 30
  10. 2024LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animationcited by 10
  11. 2024Keyframer: Empowering Animation Design using Large Language Modelscited by 9
  12. 2024Kinetic Typography Diffusion Modelcited by 9
  13. 2023Creating Emordle: Animating Word Cloud for Emotion Expressioncited by 7
  14. 2023Wakey-Wakey: Animate Text by Mimicking Characters in a GIFcited by 7
  15. 2024Fast Sprite Decomposition from Animated Graphicscited by 2

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