[2603.29469] iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models

Computer Science > Human-Computer Interaction arXiv:2603.29469 (cs) [Submitted on 31 Mar 2026] Title:iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models Authors:Xudong Zhou, Jinyuan Liang, Qiuyi Guo, Guozheng Li View a PDF of the paper titled iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models, by Xudong Zhou and 3 other authors View PDF HTML (experimental) Abstract: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. Subjects: Hu...