Iconify：将照片转换为图标
Iconify: Converting Photographs into Icons
摘要：
在本文中，我们解决了一个具有挑战性的域之间的转换任务的照片和图标图像。尽管图标通常源自真实对象图像（即，照片），专业的图形设计师应用严格的抽象和简化来生成图标图像。此外，这两个域之间没有一一对应关系，因此我们不能将其用作学习直接转换函数的基础事实。由于生成对抗网络（GAN）可以承担域转换的问题，没有任何对应关系，我们测试循环GAN和UNIT从照片图像分割的对象生成图标。我们对几个图像数据集的实验证明，CycleGAN学习了足够的抽象和简化能力来生成类似图标的图像。
英文摘要：
In this paper, we tackle a challenging domain conversion task between photo and icon images. Although icons often originate from real object images (i.e., photographs), severe abstractions and simplifications are applied to generate icon images by professional graphic designers. Moreover, there is no one-to-one correspondence between the two domains, for this reason we cannot use it as the ground-truth for learning a direct conversion function. Since generative adversarial networks (GAN) can undertake the problem of domain conversion without any correspondence, we test CycleGAN and UNIT to generate icons from objects segmented from photo images. Our experiments with several image datasets prove that CycleGAN learns sufficient abstraction and simplification ability to generate icon-like images.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
