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Image Matting

19 papers with code ยท Computer Vision

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Attention-Guided Hierarchical Structure Aggregation for Image Matting

CVPR 2020

In this paper, we propose an end-to-end Hierarchical Attention Matting Network (HAttMatting), which can predict the better structure of alpha mattes from single RGB images without additional input.

IMAGE MATTING

Hierarchical Opacity Propagation for Image Matting

7 Apr 2020

Natural image matting is a fundamental problem in computational photography and computer vision.

IMAGE MATTING

AlphaNet: An Attention Guided Deep Network for Automatic Image Matting

7 Mar 2020

To achieve complete automatic foreground extraction in natural scenes, we propose a method that assimilates semantic segmentation and deep image matting processes into a single network to generate detailed semantic mattes for image composition task.

IMAGE MATTING SEMANTIC SEGMENTATION

Generative Adversarial Training for Weakly Supervised Cloud Matting

ICCV 2019

The detection and removal of cloud in remote sensing images are essential for earth observation applications.

CLOUD DETECTION IMAGE MATTING SEMANTIC SEGMENTATION

Indices Matter: Learning to Index for Deep Image Matting

ICCV 2019

By viewing the indices as a function of the feature map, we introduce the concept of 'learning to index', and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data and are used to guide the pooling and upsampling operators, without extra training supervision.

IMAGE MATTING

Disentangled Image Matting

ICCV 2019

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.

IMAGE MATTING

Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision

19 Sep 2019

Although many methods have been proposed to deal with nature image super-resolution (SR) and get impressive performance, the text images SR is not good due to their ignorance of document images.

IMAGE MATTING IMAGE SUPER-RESOLUTION

Disentangled Image Matting

ICCV 2019

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.

IMAGE MATTING

Learning Transparent Object Matting

25 Jul 2019

In this paper, we formulate transparent object matting as a refractive flow estimation problem, and propose a deep learning framework, called TOM-Net, for learning the refractive flow.

IMAGE MATTING