Personalized recommendation serves as a ubiquitous channel for users to discover
information tailored to their interests. However, traditional recommendation models primarily …

As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …

Personalized recommendation stands as a ubiquitous channel for users to explore
information or items aligned with their interests. Nevertheless, prevailing recommendation …

Content-aware graphic layout generation aims to automatically arrange visual elements
along with a given content such as an e-commerce product image. In this paper we argue …

Enabling machines to understand structured visuals like slides and user interfaces is
essential for making them accessible to people with disabilities. However, achieving such …

This paper proposes an image-vector dual diffusion model for generative layout design.
Distinct from prior efforts that mostly ignore element-level visual information our approach …

In the field of graphic design, automating the integration of design elements into a cohesive
multi-layered artwork not only boosts productivity but also paves the way for the …

Templates serve as a good starting point to implement a design (eg banner slide) but it takes
great effort from designers to manually create. In this paper we present Desigen an …

Finding a suitable layout represents a crucial task for diverse applications in graphic design.
Motivated by simpler and smoother sampling trajectories, we explore the use of Flow …

Layout generation is the keystone in achieving automated graphic design, requiring
arranging the position and size of various multi-modal design elements in a visually …