Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > cs > arXiv:2504.02361

Help | Advanced Search

Computer Science > Graphics

arXiv:2504.02361 (cs)
[Submitted on 3 Apr 2025 (v1) , last revised 14 Jul 2025 (this version, v3)]

Title: MG-Gen: Single Image to Motion Graphics Generation

Title: MG-Gen:单张图像到动态图形生成

Authors:Takahiro Shirakawa, Tomoyuki Suzuki, Takuto Narumoto, 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.
Abstract: 我们引入了MG-Gen,一个直接从单个位图图像生成运动图形的框架。 MG-Gen将单个位图图像分解为以HTML表示的分层结构,为每个层生成动画脚本,然后将其渲染为视频。 实验确认MG-Gen在保持文本可读性和输入条件保真度的同时生成动态运动图形,而最先进的图像到视频生成方法在这些方面存在困难。 代码可在https://github.com/CyberAgentAILab/MG-GEN获取。
Subjects: Graphics (cs.GR) ; Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2504.02361 [cs.GR]
  (or arXiv:2504.02361v3 [cs.GR] for this version)
  https://doi.org/10.48550/arXiv.2504.02361
arXiv-issued DOI via DataCite

Submission history

From: Takahiro Shirakawa [view email]
[v1] Thu, 3 Apr 2025 07:52:12 UTC (11,372 KB)
[v2] Fri, 4 Apr 2025 01:21:39 UTC (11,372 KB)
[v3] Mon, 14 Jul 2025 05:22:55 UTC (10,040 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
  • Other Formats
view license
Current browse context:
cs.GR
< prev   |   next >
new | recent | 2025-04
Change to browse by:
cs
cs.CV

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号