LayerD：将栅格图形设计分解为分层结构

摘要

设计师通常在图层表示中创作和编辑图形设计，但一旦合成到栅格图像中，基于图层的编辑便无法进行。本研究提出LayerD方法，旨在将栅格图形设计分解为可重新编辑的图层，以支持创意工作流程。LayerD通过迭代提取未被遮挡的前景图层来解决分解任务。我们提出了一种简单而有效的优化方法，该方法利用了图形设计中图层通常呈现均匀外观的假设。鉴于分解问题的不适定性及真实图层结构可能不可靠，我们开发了一种质量度量标准来应对这一难题。实验表明，LayerD成功实现了高质量的分解，并超越了基线方法。我们还展示了LayerD与最先进的图像生成器及基于图层的编辑功能结合使用的实例。

English

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.

LayerD：将栅格图形设计分解为分层结构

LayerD: Decomposing Raster Graphic Designs into Layers

摘要

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