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 ...
Official implementations for paper: Anydoor: zero-shot object-level image customization - AnyDoor/datasets/vitonhd.py at main · kekewind/AnyDoor
Projects Security Insights Additional navigation options Files main assets ckpt configs gradio_demo ip_adapter preprocess src README.md environment.yaml inference.py inference.sh inference_dc.py train_xl.py train_xl.sh vitonhd_test_tagged.json ...
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高度超过本期图像生成的基线版本。代码实现在:github.com/shadow2496/V. 介绍 虚拟试衣涉及到一个图像生成任务,它将人像上的一件衣服转换成一件不同的衣服,给出一张单独的图像。随着线上购物的趋势逐渐流行,虚拟试衣会丰富消费者的购物体验,因为它...
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 ...
专注于结合服装融合和潜在扩散技术,为虚拟试穿提供可控制的解决方案。该项目基于VITON-HD数据集训练,实现了高清晰度的虚拟试穿效果。 - gisealh/OOTDiffusion
The VITON-HD dataset serves as a benchmark and provides an agnostic mask. However, you can attempt virtual try-on onarbitrary imagesusing segmentation tools likeSAM. Please note that for densepose, you should use the same densepose model as used in VITON-HD. ...
# VITONHD base CUDA_VISIBLE_DEVICES=3,4 python train.py \ --config_name VITONHD \ --transform_size shiftscale3 hflip \ --transform_color hsv bright_contrast \ --save_name Base_test # VITONHD ATVloss CUDA_VISIBLE_DEVICES=5,6 python train.py \ --config_name VITONHD \ --transform_...
图1: 对比VITON-HD的结构,第一行的红色圆圈显示了在衣服形变图像与分割图像错位问题;第二行绿色圈中显示了由于身体部位遮挡造成的像素压缩问题。相比于VITON-HD,我们的方法成功解决了错位和遮挡问题。放大获得最佳效果。 简介 基于图像虚拟试衣的目标是给定一件衣服生成一个穿着这件衣服的人的图像。为了完成这样的任...
These innovations enable state-of-the-art (SOTA) performance in visual quality and text fidelity, establishing a new benchmark for VTO task. Project page: \url{https://zhenchenwan.github.io/TED-VITON/} PDF Paper record Table 1: Quantitative comparison on training models on VITON-HD and ...