LayoutDM：基于 Transformer 的布局生成扩散模型（英文版）

英文标题：LayoutDM: Transformer-based Diffusion Model for Layout Generation中文摘要：该研究探讨了扩散模型在条件布局生成中的潜力，并提出了基于 Transformer 的布局扩散模型 (LayoutDM)，该模型能够产生高质量、具有样本多样性、保真分布覆盖和稳定训练的图形设计布局。英文摘要：Automatic layout generation that can synthesize high-quality layouts is animportant tool for graphic design in many applications. Though existing methodsbased on generative models such as Generative Adversarial Networks (GANs) andVariational Auto-Encoders (VAEs) have progressed, they still leave much roomfor improving th