# Curve-based Neural Style Transfer. (arXiv:2401.08579v1 [cs.CV])


This research presents a new parametric style transfer framework specifically
designed for curve-based design sketches. In this research, traditional
challenges faced by neural style transfer methods in handling binary sketch
transformations are effectively addressed through the utilization of parametric
shape-editing rules, efficient curve-to-pixel conversion techniques, and the
fine-tuning of VGG19 on ImageNet-Sketch, enhancing its role as a feature pyramid
network for precise style extraction. By harmonizing intuitive curve-based
imagery with rule-based editing, this study holds the potential to significantly
enhance design articulation and elevate the practice of style transfer within
the realm of product design.

[Read Full Article](http://arxiv.org/abs/2401.08579)