Predicting an alpha matte from an image and a trimap.
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Updated
Oct 16, 2020 - Python
Predicting an alpha matte from an image and a trimap.
Semantic matting project using image segmentation and image matting
BackgroundRemover lets you Remove Background from images and video with a simple command line interface
Background removal refers to the process of separating and eliminating the background of an image or video, leaving only the subject or foreground visible.
[CVPR24] MaGGIe: Mask Guided Gradual Human Instance Matting
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
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.
[CVPR2021]Learning Affinity-Aware Upsampling for Deep Image Matting
Simplified Deep Image Matting training code with keras on tensorflow
a lightweight image matting model
The official repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
a simple online image matting web based on cv_unet_image-matting and cv_unet_universal-matting model
[ACM MM 2021] Privacy-Preserving Portrait Matting
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)
[IJCAI'21] Deep Automatic Natural 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
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