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Jan, 2018
深度结构化基于能量的图像修复
Deep Structured Energy-Based Image Inpainting
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Fazil Altinel, Mete Ozay, Takayuki Okatani
TL;DR
本文提出了一种采用能量模型的结构化图像修复方法，通过卷积神经网络学习图像的结构关系以及缺失区域，并在多个基准数据集上进行实验，发现其明显优于使用生成对抗网络的现有方法。
Abstract
In this paper, we propose a
structured image inpainting
method employing an
energy based model
. In order to learn structural relationship between patterns observed in images and missing regions of the images, we
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