PosterVerse: 一个用于商业级海报生成的全流程框架，基于HTML的可扩展字体
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
AI总结：
PosterVerse通过全流程框架和HTML驱动技术，实现商业级海报的高密度文本渲染与灵活设计。
摘要：
商业级海报设计需要将美观与精确的信息传递无缝结合。当前的自动化海报生成系统面临显著限制，包括不完整的流程、文本渲染不准确以及不够灵活以适应商业应用。为了解决这些挑战，我们提出了PosterVerse，一个全流程、商业级的海报生成方法，能够无缝自动化整个设计过程，同时提供高密度和可扩展的文本渲染。PosterVerse通过三个关键阶段复制专业设计：（1）使用微调的LLM创建蓝图，从用户需求中提取关键设计元素；（2）通过定制的扩散模型生成图形背景，以创建视觉吸引人的图像；（3）使用MLLM驱动的HTML引擎进行统一的布局-文本渲染，以确保高文本准确性和灵活的定制。此外，我们引入了PosterDNA，一个专为训练和验证海报设计模型而设计的商业级、基于HTML的数据集。据我们所知，PosterDNA是首个引入HTML字体文件的中文海报生成数据集，使可扩展文本渲染成为可能，并从根本上解决了小字体和高密度文本渲染的挑战。实验结果表明，PosterVerse能够持续生成具有吸引人的视觉效果、准确的文本对齐和可定制布局的商业级海报，使其成为自动化商业海报设计的有前景的解决方案。代码和模型可在https://github.com/wuhaer/PosterVerse上获得。
英文摘要：
Commercial-grade poster design demands the seamless integration of aesthetic appeal with precise, informative content delivery. Current automated poster generation systems face significant limitations, including incomplete design workflows, poor text rendering accuracy, and insufficient flexibility for commercial applications. To address these challenges, we propose PosterVerse, a full-workflow, commercial-grade poster generation method that seamlessly automates the entire design process while delivering high-density and scalable text rendering. PosterVerse replicates professional design through three key stages: (1) blueprint creation using fine-tuned LLMs to extract key design elements from user requirements, (2) graphical background generation via customized diffusion models to create visually appealing imagery, and (3) unified layout-text rendering with an MLLM-powered HTML engine to guarantee high text accuracy and flexible customization. In addition, we introduce PosterDNA, a commercial-grade, HTML-based dataset tailored for training and validating poster design models. To the best of our knowledge, PosterDNA is the first Chinese poster generation dataset to introduce HTML typography files, enabling scalable text rendering and fundamentally solving the challenges of rendering small and high-density text. Experimental results demonstrate that PosterVerse consistently produces commercial-grade posters with appealing visuals, accurate text alignment, and customizable layouts, making it a promising solution for automating commercial poster design. The code and model are available at https://github.com/wuhaer/PosterVerse.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
