The presence of proper wrinkles is important while modeling realistic virtual garments. Unlike previously used full 3D information methods, our approach achieves detailed garment generation from a single image. First, we retrieve a garment image similar to the initial virtual garment based on content-based image retrieval (CBIR) method. Then, we preprocess the image with a combination of human body reshaping, image segmentation and shape recovery, to obtain the 3D wrinkle details. Finally, the garment height are synthesized into the virtual garment. For better suit the posture of the human body, excess garment energy are released to remove the unmatched wrinkles. We apply our method to various styles of virtual garments, and it enable virtual characters in general pose to be dressed in these garments and complete wrinkle generation. Compared with existing garment modeling methods, the experimental results show that the proposed method could quickly capture the realistic wrinkles of virtual garments with less manual operation and achieve more realistic wrinkles for virtual garments.

在对逼真的虚拟衣服进行建模时，适当的皱纹的存在很重要。与以前使用的完整3D信息方法不同，我们的方法可以从单个图像生成详细的服装。首先，我们基于基于内容的图像检索（CBIR）方法检索类似于初始虚拟服装的服装图像。然后，我们结合人体整形，图像分割和形状恢复对图像进行预处理，以获得3D皱纹细节。最后，将服装高度合成为虚拟服装。为了更好地适应人体的姿势，多余的服装能量会被释放，以消除无与伦比的皱纹。我们将我们的方法应用于各种样式的虚拟服装，并且可以使一般姿势的虚拟角色穿着这些服装并完成皱纹的产生。