论文标题
copyspace：在哪里写图像？
Copyspace: Where to Write on Images?
论文作者
论文摘要
文本在图像上的放置是产生高质量视觉设计的重要组成部分。通过确定文本元素的适当位置，方向和样式来自动化这项工作，需要了解背景图像的内容。我们将搜索图像上呈现为“ CopySpace检测”的文本的美学参数的搜索，并指出此任务与前景背景的分离不同。我们已经使用经过专门标记的数据训练的一个和两个阶段对象检测方法开发了解决方案。该研讨会将检查用于COPYSPACE检测的算法，并证明其在Einstein Designer等生成设计模型和管道中的应用。
The placement of text over an image is an important part of producing high-quality visual designs. Automating this work by determining appropriate position, orientation, and style for textual elements requires understanding the contents of the background image. We refer to the search for aesthetic parameters of text rendered over images as "copyspace detection", noting that this task is distinct from foreground-background separation. We have developed solutions using one and two stage object detection methodologies trained on an expertly labeled data. This workshop will examine such algorithms for copyspace detection and demonstrate their application in generative design models and pipelines such as Einstein Designer.
