Suzuki_LayerD_Decomposing_Raster_Graphic_Designs_into_Layers@ICCV2025@CVF

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#1 LayerD: Decomposing Raster Graphic Designs into Layers [PDF] [Copy] [Kimi] [REL]

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

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. Code and models are publicly available.

Subject: ICCV.2025 - Poster