Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Attaining a high degree of user controllability in visual generation often requires intricate,
fine-grained inputs like layouts. However, such inputs impose a substantial burden on users …

Controllable layout generation aims at synthesizing plausible arrangement of element
bounding boxes with optional constraints, such as type or position of a specific element. In …

Automatic layout generation that can synthesize high-quality layouts is an important tool for
graphic design in many applications. Though existing methods based on generative models …

Creating graphic layouts is a fundamental step in graphic designs. In this work, we present a
novel generative model named LayoutDiffusion for automatic layout generation. As layout is …

Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …

Generative models able to synthesize layouts of different kinds (eg documents, user
interfaces or furniture arrangements) are a useful tool to aid design processes and as a first …

Layout generation aims to synthesize realistic graphic scenes consisting of elements with
different attributes including category, size, position, and between-element relation. It is a …

Conditional graphic layout generation, which automatically maps user constraints to high-
quality layouts, has attracted widespread attention today. Although recent works have …