A Python library for alpha matting

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

Official code for our ICCV2025 paper "SDMatte: Grafting Diffusion Models for Interactive Matting"

A Tri-map free direct Alpha Matting.

Repository for implementing alpha matting

Repository for class project "Application of 3D graphic synthetic dataset generation for the means of image alpha matting using deep neural networks" of Machine Learning class, Faculty of Applied Sciences of Ukrainian Catholic University (Lviv)

A high-quality AI-based real-time matting plugin for Open Broadcaster Software (OBS) Studio using native alpha

This project implements the Bayesian Matting technique described in 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 [1]

Python implementation in Pyodide 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

34981-Images-Alpha-Matte-Human-Body-Segmentation-Data-Fine-Version

25080-Images-Alpha-Matte-Human-Body-Segmentation-Data-Basic-Version

Predicting an alpha matte from an image and a trimap.