Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Real-Time High-Resolution Background Matting

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Deep Image Matting

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

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

This is tensorflow implementation for paper "Deep Image Matting"

Semantic Human Matting

Official repository for the paper F, B, Alpha Matting

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

Official repository for Natural Image Matting via Guided Contextual Attention

[IJCAI'21] Deep Automatic Natural Image Matting

Pytorch implementation of deep image matting

[ACM MM 2021] Privacy-Preserving Portrait Matting

Robust Human Matting via Semantic Guidance, ACCV 2022.

[CVPR 2023] Referring Image Matting

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

Portrait Mating implementation in UNet with PyTorch.

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.