MSEmbGAN 多针刺绣数据集

该数据集是武汉纺织大学计算机与人工智能学院胡新荣课题组于 2024 年的刺绣图像生成研究成果，相关论文为「MSEmbGAN: Multi-Stitch Embroidery Synthesis via Region-Aware Texture Generation」，已被 IEEE Transactions on Visualization and Computer Graphics (TVCG) 录用，上海交通大学计算机科学与工程学院盛斌教授为通讯作者。该方法确保生成的刺绣中的每一针都符合专业标准，支持设计师制作符合高美学和技术标准的作品，并显着减少花费在手动调整上的时间。

This dataset is a research outcome of embroidery image generation developed in 2024 by the research group led by Hu Xinrong from the School of Computer and Artificial Intelligence, Wuhan Textile University. The associated paper titled "MSEmbGAN: Multi-Stitch Embroidery Synthesis via Region-Aware Texture Generation" has been accepted by IEEE Transactions on Visualization and Computer Graphics (TVCG), with Professor Sheng Bin from the School of Computer Science and Engineering, Shanghai Jiao Tong University as the corresponding author. This method ensures that every stitch in the generated embroidery adheres to professional standards, supports designers in creating works that meet high aesthetic and technical criteria, and significantly reduces the time spent on manual adjustments.

搜集汇总

背景与挑战

背景概述

MSEmbGAN多针刺绣数据集是武汉纺织大学于2024年发布的刺绣图像生成数据集，包含超过3万张分辨率为256×256的刺绣和内容图像，并详细标注了多针和单针类型。该数据集基于专业刺绣软件制作，旨在支持刺绣图像合成研究，帮助设计师生成符合高美学和技术标准的作品，显著减少手动调整时间。