LK's Image Matting Algorithm and Implementation

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

a lightweight image matting model

Simplified Deep Image Matting training code with keras on tensorflow

Predicting an alpha matte from an image and a trimap.

Bayesian Matting, Image Matting, Image Processing

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Model Development - withoutbg.com

Project for Digital Image Processing

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

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

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

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

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

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Note: The repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving" has been moved to: https://github.com/ViTAE-Transformer/P3M-Net

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

[IJCAI'21] Deep Automatic Natural Image Matting

[ACM MM 2021] Privacy-Preserving Portrait Matting