COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design

arXiv:2311.16974v2 Announce Type: replace
Abstract: Graphic design, which has been evolving since the 15th century, plays a crucial role in advertising. The creation of high-quality designs demands design-oriented planning, reasoning, and layer-wise generation. Unlike the recent CanvaGPT, which integrates GPT-4 with existing design templates to build a custom GPT, this paper introduces the COLE system - a hierarchical generation framework designed to comprehensively address these challenges. This COLE system can transform a vague intention prompt into a high-quality multi-layered graphic …

abstract advertising arxiv build cs.cv design designs framework gpt gpt-4 hierarchical layer planning quality reasoning role type wise