论文标题
具有辅助风格特征的非火山区域本地化
Inharmonious Region Localization with Auxiliary Style Feature
论文作者
论文摘要
随着图像编辑技术的普遍性，用户可以创建出色的合成图像，但是图像质量可能会因操纵区域和背景之间的颜色/照明差异而损害。非火山区域的定位旨在将非火山区域定位在合成图像中。在这项工作中，我们试图利用辅助风格功能来促进这项任务。具体来说，我们提出了一个新颖的颜色映射模块和样式功能损失，以提取包含与任务相关的颜色/照明信息的区分样式特征。根据提取的样式功能，我们还提出了一个新颖的样式投票模块，以指导非火山区域的本地化。此外，我们将语义信息介绍给样式投票模块，以实现进一步的改进。我们的方法通过基准数据集的大幅度超过了现有方法。
With the prevalence of image editing techniques, users can create fantastic synthetic images, but the image quality may be compromised by the color/illumination discrepancy between the manipulated region and background. Inharmonious region localization aims to localize the inharmonious region in a synthetic image. In this work, we attempt to leverage auxiliary style feature to facilitate this task. Specifically, we propose a novel color mapping module and a style feature loss to extract discriminative style features containing task-relevant color/illumination information. Based on the extracted style features, we also propose a novel style voting module to guide the localization of inharmonious region. Moreover, we introduce semantic information into the style voting module to achieve further improvement. Our method surpasses the existing methods by a large margin on the benchmark dataset.
