arXiv Open Access 2025

LayerD: Decomposing Raster Graphic Designs into Layers

Tomoyuki Suzuki Kang-Jun Liu Naoto Inoue Kota Yamaguchi
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

T

Tomoyuki Suzuki

K

Kang-Jun Liu

N

Naoto Inoue

K

Kota Yamaguchi

Format Sitasi

Suzuki, T., Liu, K., Inoue, N., Yamaguchi, K. (2025). LayerD: Decomposing Raster Graphic Designs into Layers. https://arxiv.org/abs/2509.25134

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓