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BizGen: Infographic Generation Tool by Tsinghua University & Microsoft Research
BizGen: Infographic Generation Tool by Tsinghua University & Microsoft ResearchIntroduction
What is BizGen?
BizGen is an infographic generation tool jointly launched by Tsinghua University and Microsoft Research, focused on article-level visual text rendering, capable of generating professional-grade infographics and slides with a single click.
BizGen Core Advantages
High-Quality Content Generation:
Automatically generates professional-grade infographics and slides based on user-input article content.
Solves issues such as blurry text and messy layouts that traditional tools encounter when processing long articles or complex information.
Powerful Technical Support:
Dataset: Built upon a high-quality commercial content dataset called Infographics-650K, containing a massive collection of beautifully designed commercial infographics and slides.
Technology: Introduces a "layout-guided cross-attention mechanism," which decomposes long articles into "mini-instructions" targeting different regions and precisely injects them into the corresponding areas of the image.
Multi-Language and Style Support:
Supports ten different languages.
Can generate infographics in multiple styles to meet various needs.
Multi-Layer Transparent Infographics:
Excels at generating multi-layer transparent infographics, offering more flexible and diverse information presentation.
High Accuracy and Typography Quality:
Text spelling accuracy far surpasses other models.
User studies show that users prefer the typography results generated by BizGen.
BizGen Application Scenarios
Business Reporting: Quickly generate high-quality business reports and presentations.
Product Showcase: Create attractive product promotional posters and slides.
Academic Research: Generate academic reports and presentations.
Social Media: Create engaging social media content.
Education: Help teachers quickly create teaching courseware.
Application Advantages
Precise Text Rendering: In infographics containing a large number of text layers, BizGen's text spelling accuracy significantly outperforms similar tools (such as FLUX, SD3, DALL·E3), and user studies also show that its typography quality is more favored.
Efficient Content Conversion: Users only need to input an article to automatically generate logically clear and beautifully designed presentations or infographic posters, greatly lowering the barrier to professional content creation.
Adaptation to Academic and Business Scenarios: Suitable for corporate reporting, academic research, product showcases, and other scenarios, supporting diverse needs ranging from academic papers to business proposals.
Related Links
GitHub：https://github.com/1230young/bizgen
Project Address：https://github.com/1230young/bizgen
Paper Address：https://arxiv.org/pdf/2503.20672
