LayerD: Decomposing Raster Graphic Designs into Layers

Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota Yamaguchi

LayerD: Decomposing Raster Graphic Designs into Layers: 3 upvotes on Hugging Face Daily Papers, #50 of 61 papers on 2025-10-01. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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