Abstract
Making decorated logos requires image editing skills, without sufficient skills, it could be a time-consuming task. While there are many on-line web services to make new logos, they have limited designs and duplicates can be made. We propose using neural style transfer with clip art and text for the creation of new and genuine logos. We introduce a new loss function based on distance transform of the input image, which allows the preservation of the silhouettes of text and objects. The proposed method constrains style transfer only around the designated area. We demonstrate the characteristics of proposed method. Finally, we show the results of logo generation with various input images.
Abstract (translated)
制作装饰徽标需要图像编辑技能，没有足够的技能，这可能是一项耗时的任务。虽然有许多在线Web服务可以制作新的徽标，但它们的设计有限，可以制作重复的徽标。我们建议使用带有剪贴画和文本的神经风格转移来创建新的和真实的徽标。我们引入了一种基于输入图像的距离变换的新的损失函数，它允许保留文本和对象的轮廓。所提出的方法仅限制在指定区域周围的样式传递。我们证明了所提方法的特点。最后，我们展示了使用各种输入图像生成徽标的结果。
URL
https://arxiv.org/abs/1803.00686
