matting
Here are 68 public repositories matching this topic...
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Jan 1, 2021 - Python
Predicting an alpha matte from an image and a trimap.
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Oct 16, 2020 - Python
RemoveBG PLUS: Extract Anything stands out as a user-centric AI vision model, the PLUS version of Remove BG, providing unparalleled flexibility and customization. It satisfies every content extraction need you may have from images and achieves significant advancements in functionality, performance, and efficiency.
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Sep 27, 2023
Remove backgrounds by color selection
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Mar 9, 2024 - C
Python implementation of paper "A Bayesian approach to digital matting"
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Dec 20, 2021 - Python
This script assumes you have REMBG installed and a decent file manager on Linux. (thunar, caja, nautilus, dolphin) ect... The script will allow you to run REMBG on a file from a right click "open with" setting on Linux.
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Feb 6, 2024 - Shell
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
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Oct 1, 2023 - Jupyter Notebook
An python implementation of Triangulation Matting with a speed of about 1.3sec per image (480 x 320 x 3).
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Jan 2, 2019 - Python
👹 mattematte: A C++ ToolKit for matting, segmentation, SR and colorization with MNN, ONNXRuntime and Vulkan.
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Apr 4, 2022
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]
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Apr 15, 2022 - Python
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Jun 16, 2022 - Python
AI Image Processing, including matting, background changing, beauty, manual smoother, manual remover and Style Transfer tool.
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Jan 17, 2020 - Python
This is a test ready version of foamliu/Deep-Image-Matting. This project added a new prediction function by using the original pre-trained model.
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Jan 4, 2019 - Python
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
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Oct 7, 2022 - Python
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