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arxiv:2509.25134

LayerD: Decomposing Raster Graphic Designs into Layers

Published on Sep 29
· Submitted by Tomoyuki Suzuki on Oct 1
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Abstract

LayerD decomposes raster images into editable layers using iterative extraction and refinement, outperforming existing methods and enabling use with advanced image generators.

AI-generated summary

Designers craft and edit graphic designs in a layer representation, but layer-based editing becomes impossible once composited into a raster image. In this work, we propose LayerD, a method to decompose raster graphic designs into layers for re-editable creative workflow. LayerD addresses the decomposition task by iteratively extracting unoccluded foreground layers. We propose a simple yet effective refinement approach taking advantage of the assumption that layers often exhibit uniform appearance in graphic designs. As decomposition is ill-posed and the ground-truth layer structure may not be reliable, we develop a quality metric that addresses the difficulty. In experiments, we show that LayerD successfully achieves high-quality decomposition and outperforms baselines. We also demonstrate the use of LayerD with state-of-the-art image generators and layer-based editing.

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