LayerD: Decomposing Raster Graphic Designs into Layers

• URL: http://arxiv.org/abs/2509.25134v1
• Date: Mon, 29 Sep 2025 17:50:12 GMT
• Title: LayerD: Decomposing Raster Graphic Designs into Layers
• Authors: Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota Yamaguchi,
• Abstract summary: LayerD is a method to decompose graphic designs into layers for re-editable creative workflow.<n>We propose a simple yet effective refinement approach taking advantage of the assumption that layers often exhibit uniform appearance.<n>In experiments, we show that LayerD successfully achieves high-quality decomposition and outperforms baselines.
• Score: 15.294433619347082
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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