DesignLab: Designing Slides Through Iterative Detection and Correction
Authors: name: Jooyeol Yun, name: Heng Wang, name: Yotaro Shimose, name: Jaegul Choo, name: Shingo Takamatsu

Designing high-quality presentation slides can be challenging for non-experts
due to the complexity involved in navigating various design choices. Numerous
automated tools can suggest layouts and color schemes, yet often lack the
ability to refine their own output, which is a key aspect in real-world
workflows. We propose DesignLab, which separates the design process into two
roles, the design reviewer, who identifies design-related issues, and the
design contributor who corrects them. This decomposition enables an iterative
loop where the reviewer continuously detects issues and the contributor
corrects them, allowing a draft to be further polished with each iteration,
reaching qualities that were unattainable. We fine-tune large language models
for these roles and simulate intermediate drafts by introducing controlled
perturbations, enabling the design reviewer learn design errors and the
contributor learn how to fix them. Our experiments show that DesignLab
outperforms existing design-generation methods, including a commercial tool, by
embracing the iterative nature of designing which can result in polished,
professional slides.