VITON: An Image-based Virtual Try-on Network (CVPR 2018)[2] 这篇文章首次提出了虚拟试衣(Virtual Try-On)的任务,利用从粗到细(Coarse-to-fine)的生成方式将目标衣物转换到目标人物身上。生成思路简单清晰,此处就不再分点解读了。基于Conditional GAN的思路,这篇文章提出使用一个clothes-agnostic的描述符来对...
基于图像的虚拟试衣:VITON:An Image-based Virtual Try-on Network(2018),程序员大本营,技术文章内容聚合第一站。
Code and dataset for the CVPR 2018 paper "VITON: An Image-based Virtual Try-on Network"Person representation extractionThe person representation used in this paper are extracted by a 2D pose estimator and a human parser:Realtime Multi-Person Pose Estimation Self-supervised Structure-sensitive Learnin...
VTNFP: An Image-based Virtual Try-on Network with Body and Clothing Feature Preservation (ICCV 2019)[4] 概述 文章为了进一步提升生成图像的纹理质量提出了VTNFP,一个三阶段的生成网络。此方法首先对衣物进行变形,之后预测穿着目标服装的人体分割图,最后将组合的人体表征和扭曲后的服装concat起来生成最终结果。整...
In this paper, we propose an image-based virtual try-on network, LA-VITON, which allows the generation of high fidelity try-on images that preserves both the overall appearance and the characteristics of clothing items. The proposed network consists of two modules: Geometric Matching Module (GMM...
Among them, image-based virtual try-on has recently attracted a lot of attention resulting in several architectures that can generate a new image of a person wearing an input try-on garment in a plausible and realistic way. In this paper, we present VITON-GT, a new model for virtual try...
[4] HAN X., WU Z., WU Z., YU R., DAVIS L. S.: Viton: An image-based virtual try-on network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018). [5] KARRAS T., LAINE S., AILA T.: A style-based generator architecture for generative adversar...
VITON_ An Image-based Virtual Try-on Network文章中图像预处理,包括cloth、cloth-mask、image、image-parse和pose,可以直接进行训练 上传者:qq_33047753时间:2019-08-08 vton-maskMPV.rar 最新出来的衣间算法VITON-master试数据集,该算法基于几何形变特征图的虚拟试衣服, 基于孪生U-Net的生成器,包含一系列调节层...
Recent advancements in Virtual Try-On (VTO) have demonstrated exceptional efficacy in generating realistic images and preserving garment details, largely attributed to the robust generative capabilities of text-to-image (T2I) diffusion backbones. However, the T2I models that underpin these methods have...
VITON was a dataset for virtual try-on of clothing items. It consisted of 16,253 pairs of images of a person and a clothing item . The authors have removed the dataset and it is no longer publicly available due to copyright issues.