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Journals >
Laser & Optoelectronics Progress >
Volume 57 >
Issue 8 >
Page 081012 > Article
Laser & Optoelectronics Progress
Vol. 57, Issue 8, 081012 (2020)
Local Style Migration Method Based on Residual Neural Network
Jinguang Sun and Xinsong Liu
*
Author Affiliations
School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
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DOI:
10.3788/LOP57.081012
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Jinguang Sun, Xinsong Liu. Local Style Migration Method Based on Residual Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081012
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Fig. 1.
Local style migration network model
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Fig. 2.
Mask effect maps
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Fig. 3.
VGG network architecture
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Fig. 4.
Residual network schematic
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Fig. 5.
Experimental results
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Fig. 6.
Weight diagrams of content and style
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Fig. 7.
Generation effect of different layers
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Method
256×256
512×512
1024×1024
Ref. [1]
14.327
51.192
200.354
Ref. [2]
0.014
0.045
0.166
Ref. [21]
0.017
0.064
0.254
Ref. [4]
0.620
1.139
2.947
Proposed
0.023
0.061
0.215
Table 1.
Time comparisons
Abstract
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References (21)
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Jinguang Sun, Xinsong Liu. Local Style Migration Method Based on Residual Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081012
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Paper Information
Category: Image Processing
Received: Jul. 30, 2019
Accepted: Sep. 12, 2019
Published Online: Mar. 30, 2020
The Author Email: Liu Xinsong (song_0501qq.com@foxmail.com)
DOI:
10.3788/LOP57.081012
Recommended Topics
laser devices and laser physics
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