Boosting GUI Prototyping with Diffusion Models
Jialiang Wei Anne-Lise Courbis Thomas Lambolais Binbin Xu Pierre Louis Bernard Gérard Dray
GUI (graphical user interface) prototyping is a widely-used technique in
requirements engineering for gathering and refining requirements, reducing
development risks and increasing stakeholder engagement. However, GUI
prototyping can be a time-consuming and costly process. In recent years, deep
learning models such as Stable Diffusion have emerged as a powerful
text-to-image tool capable of generating detailed images based on text prompts.
In this paper, we propose UI-Diffuser, an approach that leverages Stable
Diffusion to generate mobile UIs through simple textual descriptions and UI
components. Preliminary results show that UI-Diffuser provides an efficient and
cost-effective way to generate mobile GUI designs while reducing the need for
extensive prototyping efforts. This approach has the potential to significantly
improve the speed and efficiency of GUI prototyping in requirements
engineering.