English

MG-Gen: Single Image to Motion Graphics Generation

Graphics 2025-07-15 v3 Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.2504.02361,
  title  = {MG-Gen: Single Image to Motion Graphics Generation},
  author = {Takahiro Shirakawa and Tomoyuki Suzuki and Takuto Narumoto and Daichi Haraguchi},
  journal= {arXiv preprint arXiv:2504.02361},
  year   = {2025}
}
R2 v1 2026-06-28T22:44:55.170Z