Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

This is a background removing tool powered by InSPyReNet (ACCV 2022)

使用onnxruntime部署高精度二分类图像分割MVANet和BiRefNet，依然是包含C++和Python两个版本的程序

Remove backgrounds from images with ease

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

[CVPR24] MaGGIe: Mask Guided Gradual Human Instance Matting

🐘 Uses an AI model to remove image backgrounds. Only the ESM.

The official repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving"

a simple online image matting web based on cv_unet_image-matting and cv_unet_universal-matting model

Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)

pytorch implimentation of u2net architecture

[CVPR2021]Learning Affinity-Aware Upsampling for Deep Image Matting

A collection of AWESOME things about image matting.

📓 A curated list of deep learning image matting papers and codes

Julia implementation of the python package rembg

ViTMatte is a state-of-the-art image matting model. It leverages plain Vision Transformers (ViTs) to accurately estimate the foreground object in images and videos. We see ViTMatte, its architecture, practical implementation steps, and its contributions to th

Semantic matting project using image segmentation and image matting

A High-Efficient Research Development Toolkit for Image Segmentation Based on Pytorch.

Deep Image Matting: A Comprehensive Survey