There are 16 repositories under image-matting topic.
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.
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
Project for Digital Image Processing
This is a background removing tool powered by InSPyReNet (ACCV 2022)
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)
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
:notebook: A curated list of deep learning image matting papers and codes
a simple online image matting web based on cv_unet_image-matting and cv_unet_universal-matting model
A collection of AWESOME things about image matting.
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
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
Deep Image Matting: A Comprehensive Survey
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
The official repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving"
a lightweight image matting model
Remove backgrounds from images with ease
Simplified Deep Image Matting training code with keras on tensorflow
🐘 Uses an AI model to remove image backgrounds. Only the ESM.
[CVPR2021]Learning Affinity-Aware Upsampling for Deep Image Matting
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
This is a python implementation of Hierarchical Image Matting Model for Segmentation.
This project showcases an implementation of the U2-Net architecture for Image Matting in the TensorFlow.
A High-Efficient Research Development Toolkit for Image Segmentation Based on Pytorch.
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
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
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
Julia implementation of the python package rembg