Julia implementation of the python package rembg

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

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

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

Predicting an alpha matte from an image and a trimap.

Bayesian Matting, Image Matting, Image Processing

Model Development - withoutbg.com

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

pytorch implimentation of u2net architecture

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

LK's Image Matting Algorithm and Implementation

Semantic matting project using image segmentation and image matting

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

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

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

[CVPR24] MaGGIe: Mask Guided Gradual Human Instance Matting

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

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