用户可自由设定布局约束，AI自动生成符合要求的海报设计。
iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models
- 用图增强扩散模型，支持多种设计约束。
- 在多个评估指标上达到当前最优水平。
- 适合需要快速定制海报的设计师或非专业人士。
我们提出iPoster，一个交互式布局生成框架，让用户通过指定灵活的约束条件来引导内容感知的海报布局设计。用户可在意图模块中设定元素类别、大小、位置或粗略草图等部分意图；生成模块随即生成符合这些约束的精细且上下文敏感的布局。iPoster采用统一的图增强扩散架构，支持多种设计任务，并通过掩码策略在每一步去噪过程中精确保留用户输入。交叉内容感知注意力模块将生成元素与画布显著区域对齐，确保视觉一致性。大量实验表明，iPoster不仅实现了当前最优的布局质量，还提供了响应迅速、可控性强的海报设计体验。
原文摘要 · Abstract (English)
We present iPoster, an interactive layout generation framework that empowers users to guide content-aware poster layout design by specifying flexible constraints. iPoster enables users to specify partial intentions within the intention module, such as element categories, sizes, positions, or coarse initial drafts. Then, the generation module instantly generates refined, context-sensitive layouts that faithfully respect these constraints. iPoster employs a unified graph-enhanced diffusion architecture that supports various design tasks under user-specified constraints. These constraints are enforced through masking strategies that precisely preserve user input at every denoising step. A cross content-aware attention module aligns generated elements with salient regions of the canvas, ensuring visual coherence. Extensive experiments show that iPoster not only achieves state-of-the-art layout quality, but offers a responsive and controllable framework for poster layout design with constraints.
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