Automatic embroidery texture synthesis for garment design and online display

We introduce an automatic texture synthesis-based framework to convert an arbitrary input image into embroidery style art for garment design and online display. Given an input image and some reference textures, we first extract key embroidery regions from the input image using image segmentation. Each segmented region is single-colored and labeled with a stitch style automatically. We then fill these regions with embroidery reference textures via a stitch-style-based texture synthesis method. For each region, our approach maintains color similarity before and after synthesis, along with stitch style consistency. Compared to existing approaches, our method is able to generate digital embroidery patterns with faithful details automatically. Moreover, it can accept diverse input images effectively, enabling a fast preview of the embroidery patterns synthesized on digital garments interactively, and therefore accelerating the workflow from design to production. We validate our method through extensive experimentation and comparison.