u2net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

This repo contains code and a pre-trained model for clothes segmentation.

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

Huggingface cloth segmentation using U2NET

Unbagrnd - Free, Fast & Open-source AI-powered background remover for Windows, macOS, Linux and Android.

Removebg is a library that effortlessly integrates the U2Net model, allowing users to easily remove backgrounds from images in their Android apps.

Python GUI for Interactive Image Background Removal using locally running AI point and click models such as Segment Anything and automatic whole-image models such as BiRefNet and Rembg

U-2-Net: U Square Net - Modified for paired image training of style transfer

Nested U-Net with two-level skip connections for speech enhancement

胃癌恶性病变组织检测

基于显著性目标检测的非特定类别图像分割-中国大学生服务外包创新创业大赛

A framework to quickly generate high-quality stylized clothing from style images. The framework gives users the option to stylize only selected components. It uses Saliency guided style transfer to generate high-quality outputs.

基于u2net网络进行简单修改使其部署到rk3588板子上

Copy objects from real life and directly paste them on a background image using only your phone's camera

Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.

U2Net + ISNet GT encoder, training base on ssim loss, iou loss and bce loss，experimented on tooth segmentation on panoramic X-ray images.

Preview clothing with live camera overlays or generate a photo try-on from person and garment images. The application combines a Next.js interface, a FastAPI garment-processing API, and CatVTON inference through a hosted Gradio service.