Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
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Updated
Apr 2, 2024 - Python
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
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.
Real-Time High-Resolution Background Matting
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
This is tensorflow implementation for paper "Deep Image Matting"
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image 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 the paper F, B, Alpha Matting
Official repository for Natural Image Matting via Guided Contextual Attention
Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.
Portrait Mating implementation in UNet with PyTorch.
[IJCAI'21] Deep Automatic Natural Image Matting
Robust Human Matting via Semantic Guidance, ACCV 2022.
[ACM MM 2021] Privacy-Preserving Portrait Matting
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