LK's Image Matting Algorithm and Implementation

Predicting an alpha matte from an image and a trimap.

BackgroundRemover lets you Remove Background from images and video with a simple command line interface

Semantic matting project using image segmentation and image matting

pytorch implimentation of u2net architecture

Julia implementation of the python package rembg

Bayesian Matting, Image Matting, Image Processing

Background removal refers to the process of separating and eliminating the background of an image or video, leaving only the subject or foreground visible.

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

Model Development - withoutbg.com

Python implementation of a Bayesian approach to Natural Image Matting from Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001

a closed form solution to natural image matting, poisson image editing, coordinates for instant image cloning

This project showcases an implementation of the U2-Net architecture for Image Matting in the TensorFlow.

Model for automatic portrait segmentation model (aka image matting) to celebrity face(CelebAMask-HQ) dataset.

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

This is a python implementation of Hierarchical Image Matting Model for Segmentation.

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

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