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May, 2016
使用随机卷积滤波器的浅层卷积神经网络纹理合成
Texture Synthesis Using Shallow Convolutional Networks with Random Filters
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Ivan Ustyuzhaninov, Wieland Brendel, Leon A. Gatys, Matthias Bethge
TL;DR
研究表明,随机浅层卷积神经网络的特征空间可以作为自然纹理的模型,可以用于纹理合成算法,并且相较于深层CNNs模型,浅层CNNs模型具有相当的性能。
Abstract
Here we demonstrate that the feature space of random
shallow convolutional neural networks
(CNNs) can serve as a surprisingly good model of
natural textures
. Patches from the same texture are consistently classif
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