✨PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
📝 Summary:
PosterCopilot enhances professional graphic design by training LMMs with a three-stage strategy for geometrically accurate and aesthetically superior layouts. This framework enables controllable, iterative, layer-specific editing, improving on existing automated design methods.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04082
• PDF: https://arxiv.org/pdf/2512.04082
• Project Page: https://postercopilot.github.io/
• Github: https://github.com/JiazheWei/PosterCopilot
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For more data science resources:
✓ https://t.me/DataScienceT
#GraphicDesign #AI #ComputationalDesign #LayoutDesign #DesignAutomation
📝 Summary:
PosterCopilot enhances professional graphic design by training LMMs with a three-stage strategy for geometrically accurate and aesthetically superior layouts. This framework enables controllable, iterative, layer-specific editing, improving on existing automated design methods.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04082
• PDF: https://arxiv.org/pdf/2512.04082
• Project Page: https://postercopilot.github.io/
• Github: https://github.com/JiazheWei/PosterCopilot
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#GraphicDesign #AI #ComputationalDesign #LayoutDesign #DesignAutomation
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