# Content-Conditioned Generation of Stylized Free hand Sketches. (arXiv:2401.04739v1 [cs.CV])


In recent years, the recognition of free-hand sketches has remained a popular
task. However, in some special fields such as the military field, free-hand
sketches are difficult to sample on a large scale. Common data augmentation and
image generation techniques are difficult to produce images with various free-
hand sketching styles. Therefore, the recognition and segmentation tasks in
related fields are limited. In this paper, we propose a novel adversarial
generative network that can accurately generate realistic free-hand sketches
with various styles. We explore the performance of the model, including using
styles randomly sampled from a prior normal distribution to generate

[Read Full Article](http://arxiv.org/abs/2401.04739)