Paper Overview
- Field: Computer Vision (CV)
- Authors: Xincheng Shuai, Song Tang, Yutong Huang, Henghui Ding, Dacheng Tao
- Published: 2026-03-26
- arXiv: 2603.25738
- Human-like workflow: Mimics the process of professional designers rather than simplifying it, improving flexibility and intuitiveness.
- CreativePSD dataset: A collection of high-quality PSD design files annotated with operation trajectories covering a wide range of design scenarios and artistic styles, enabling the model to learn professional design processes.
- Autonomous tool use: The system infers and executes tool calls to assemble and refine editable, production-level design files.
Abstract
Graphic design is a creative and innovative process that plays a crucial role in applications such as e-commerce and advertising. However, developing an automated design system that can faithfully translate user intentions into editable design files remains an open challenge. Although recent studies have leveraged powerful text-to-image models and MLLMs to assist graphic design, they typically simplify professional workflows, resulting in limited flexibility and intuitiveness.
To address these limitations, the authors propose PSDesigner, an automated graphic design system that emulates the creative workflow of human designers. Building upon multiple specialized components, PSDesigner collects theme-related assets based on user instructions and autonomously infers and executes tool calls to manipulate design files, such as integrating new assets or refining low-quality elements.
Key Contributions
Results
Extensive experiments demonstrate that PSDesigner outperforms existing methods across a variety of graphic design tasks, allowing non-professionals to conveniently create production-quality designs.
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*Auto-collected on 2026-03-28.*