MG-Gen: Single Image to Motion Graphics Generation with Layer Decomposition

Takahiro Shirakawa, Tomoyuki Suzuki, Daichi Haraguchi

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.

External IDs:dblp:journals/corr/abs-2504-02361