A Comprehensive Survey on Deep Image Composition Abstract 图像合成作为一种常见的图像编辑操作,其目的是从一个图像切割前景并将其粘贴到另一幅图像上,得到合成图像。然而,有许多问题可能会使合成图像不现实。这些问题可以概括为前景和背景之间的不一致,
This is the official repository of the paperDeep Image Matting: A Comprehensive Survey. Jizhizi Li, Jing Zhang, and Dacheng Tao1 1 The University of Sydney, Sydney, Australia Introduction Image matting refers to extracting precise alpha matte from natural images, and it plays a critical role in...
Please refer to [40] for a comprehensive review on traditional matting methods. For deep-learning based image matting, Cho et al. [8] proposed to apply deep neural networks to combine the complementary advantages of the results respectively pro- duced by closed-form matti...
This repository contains the results and trained models for deep-learning methods used in shadow detection, removal, and generation, as presented in our paper "Unveiling Deep Shadows: A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning." This paper...
A summary of different object tracking and detection approaches has been presented in this section. The developed methods are mainly categorized in traditional generic, features, deep, and machine learning-based models. A comprehensive study of various tracking and detection techniques is also found in...
[31,32] with narrow scopes, such as image-level segmentation, where only a few deep learning methods were evaluated. In this paper, we present a comprehensive survey of deep learning CSU techniques, thus widening the scope. We also offer more extensive benchmarks with a more comprehensive ...
A comprehensive survey on brain tumor diagnosis using deep learning and emerging hybrid techniques with multi-modal MR image. Arch. Comput. Methods Eng. 2022, 1–26. [Google Scholar] [CrossRef] Arabahmadi, M.; Farahbakhsh, R.; Rezazadeh, J. Deep learning for smart Healthcare—A survey ...
[4] proposed a framework to detect defects in the fiber laser welding of stainless steel. By capturing the image of the keyhole, the features based on the shape and edges of the keyhole were extracted using grayscale projection distribution and the Poisson matting technique. Then, a Hidden ...
CC0-1.0 license Awesome Pruning Awesome resources in deep neural network pruning. This collection is inspired byhe-y/Awesome-Pruning. [Note: You are welcome to create pool requests and add more interesting papers.] SymbolMeaning UUnstructured or Weight Pruning ...
Deep Image Matting: A Comprehensive Survey. Contribute to JizhiziLi/matting-survey development by creating an account on GitHub.