viton-hd原理 1. 3D 可变形模型(3DMM)拟合。 构建基础模型:3D 可变形模型是 Viton-HD 的基础,它通过对大量真实人脸的形状和纹理进行统计分析,构建出一个能够表示人脸各种形态变化的参数化模型。这个模型可以通过一组参数来控制人脸的形状、表情和纹理等特征。 模型拟合过程:在处理输入视频时,Viton-HD 首先会对每...
VITON-HD dataset is a dataset for high-resolution (i.e., 1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view woman and top clothing image pairs.
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mulitclass human mask for training set of VITON HD
在模型概括部分，VITON-HD通过生成与衣物无关的人像、分割生成、图像形变以及ALIAS归一化生成试穿图像四个关键步骤，实现高分辨率虚拟试衣的生成。这不仅提升了图像的清晰度和逼真度，还保留了衣物的细节，满足了在线试衣的需求。综上所述，VITON-HD方法为虚拟试衣领域的高分辨率图像生成提供了创新解决方案，...
Virtual Try-Off on VITON-HD Leaderboard Dataset View by DISTSTryOffDiffTryOffDiffOther modelsModels with lowest DISTS27. Nov0.23 Filter: untagged Edit Leaderboard RankModelDISTSPaperCodeResultYearTags 1 TryOffDiff 0.230 TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction ...
针对这些挑战,我们提出了叫做VITON-HD的方法生成了1024x768的虚拟试衣图像。我们第一步准备好分割的图像去引导虚拟试衣生成,平滑给定的衣服和人像。第二步,我们提出对齐感知分割归一化和对齐感知分割生成器去解决错配区域和保留1024x768输入的细节。经过与现存方法严格的对比,我们展示的VITON-HD在图像质量和数量上都...
git clone https://github.com/shadow2496/VITON-HD.git cd ./VITON-HD/ Install PyTorch and other dependencies: conda create -y -n [ENV] python=3.8 conda activate [ENV] conda install -y pytorch=[>=1.6.0] torchvision cudatoolkit=[>=9.2] -c pytorch pip install opencv-python torchgeometry...
The frontal view woman and top clothing image pairs are split into a training and a test set with 11,647 and 2,032 pairs, respectively github地址: https://github.com/shadow2496/VITON-HD N NS夜魔 1枚 其他 图像分类生成计算机视觉 2 197 2024-01-02 ...
VITON-HD — Official PyTorch Implementation *** New follow-up research by our team is available at https://github.com/rlawjdghek/StableVITON *** VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization Seunghwan Choi*1, Sunghyun Park*1, Minsoo Lee*1, Jaegul Choo1 1...