  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.
