In this paper, we propose a conditional fast neural style transfer network. We extend the network proposed as a fast neural style transfer network by Johnson et al. [1] so that the network can learn multiple styles at the same time. To do that, we add a ...

We use existing machine learning neural style transfer model, differential rasterizer, for colored font design. The input of the proposed system is an existing TrueType font and the output is an neural style transferred OpenType-SVG color font. Each ...

Neural Style Transfer has been successfully applied in the creative process for generating novel artistic 2D images by transferring the style of a painting to an existing content image. These techniques which rely on deep neural networks have been ...