首页|Iris:一个满足多条件约束的图形布局生成系统

Iris:一个满足多条件约束的图形布局生成系统

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在平面设计中,布局是前景设计元素和背景图像相互作用的结果.然而,现有的研究主要集中在提高布局生成算法性能上,忽略设计师在现实世界中应用这些方法时所必需的交互性和可控性.本文提出一个以用户为中心的布局设计系统Iris,它为设计师提供了一个交互式的环境加快工作流程.该环境支持用户约束输入、布局生成、自定义编辑和布局渲染.为满足设计师指定的多种约束,引入一种新的生成模型——多约束LayoutVQ-VAE,以推进在域内和域间多种条件约束下的布局生成.对所提模型进行定性和定量实验.实验结果表明,该模型在多个方面的表现优于目前最先进的模型或可与之相媲美.对Iris系统的用户研究进一步表明,该系统在显著提高设计效率的同时,也实现了接近人类设计师的布局设计.
Iris:a multi-constraint graphic layout generation system
In graphic design,layout is a result of the interaction between the design elements in the foreground and background images.However,prevalent research focuses on enhancing the quality of layout generation algorithms,overlooking the interaction and controllability that are essential for designers when applying these methods in real-world situations.This paper proposes a user-centered layout design system,Iris,which provides designers with an interactive environment to expedite the workflow,and this environment encompasses the features of user-constraint specification,layout generation,custom editing,and final rendering.To satisfy the multiple constraints specified by designers,we introduce a novel generation model,multi-constraint LayoutVQ-VAE,for advancing layout generation under intra-and inter-domain constraints.Qualitative and quantitative experiments on our proposed model indicate that it outperforms or is comparable to prevalent state-of-the-art models in multiple aspects.User studies on Iris further demonstrate that the system significantly enhances design efficiency while achieving human-like layout designs.

Graphic layout generationDeep generative modelLayout design system

陈柳青、景千芝、曾怡欣、周婷婷

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浙江大学计算机科学与技术学院,中国 杭州市,310030

浙江-新加坡人工智能与创新设计联合实验室,中国 杭州市,310058

阿里巴巴集团,中国 杭州市,310034

平面布局生成 深度生成模型 布局设计系统

Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies,ChinaZhejiang-Singapore Innovation and AI Joint Research Lab,China

2024

10.1631/FITEE.2300312

信息与电子工程前沿(英文)
浙江大学

信息与电子工程前沿(英文)

CSTPCD
影响因子：0.371
ISSN：2095-9184
年,卷(期)：2024.25(7)