Layout design is an important task in various design fields, including user interfaces, document, and graphic design. As this task requires tedious manual effort by designers, prior works have attempted to automate this process using generative models, but commonly fell short of providing intuitive user controls and achieving design objectives. In this paper, we build a conditional latent diffusion model, PLay, that generates parametrically conditioned layouts in vector graphic space from user-specified guidelines, which are commonly used by designers for representing their design intents in current practices. Our method outperforms prior works across three datasets on metrics including FID and FD-VG, and in user test. Moreover, it brings a novel and interactive experience to professional layout design processes.

翻译：布局设计是用户界面、文档与图形设计等多个设计领域中的重要任务。由于该任务需要设计师投入繁琐的人工劳动，先前的研究尝试使用生成模型来自动化这一过程，但普遍缺乏直观的用户控制，且难以实现设计目标。本文构建了一个条件隐扩散模型PLay，该模型能从用户指定的准则（当前实践中设计师常用于表达设计意图的方法）生成矢量图形空间中的参数条件布局。在包括FID和FD-VG在内的三个数据集指标及用户测试中，我们的方法均优于先前工作。此外，它为专业布局设计流程带来了新颖的交互式体验。