Researching | Text Image Generation Method with Scene Description

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410012(2021)

Text Image Generation Method with Scene Description

Youwen Huang, Bin Zhou^*, and Xin Tang

Author Affiliations

School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China

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Figures&Tables (10)

References (20)

Paper Information

Figures & Tables(10)

Fig. 1. Generation network model

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Fig. 2. Mask generation network

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Fig. 3. Discrimination network model

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Fig. 4. Layout discriminator

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Fig. 5. Comparison results of same description

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Fig. 6. Comparison results after adding objects

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Fig. 7. Comparison results of predicted mask

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Table 1. Preprocessing results under different threshold values
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Table 1. Preprocessing results under different threshold values
t 0.3 0.4 0.5 0.6 0.7
Number of objects 156 151 146 127 103
Number of relationship types 38 38 37 30 24

Table 2. Comparison results of IS and FID values

Table 2. Comparison results of IS and FID values

Model	IS	FID
Real image(64×64)	13.90±0.50	0
Proposed model(no D_layout)	6.72±0.24	57.48
Proposed model(no G_mask)	6.69±0.14	61.34
Proposed model(full model)	7.11±0.14	42.20
Sg2im^[11]	6.30±0.20	73.39
StackGAN^[8]	6.35±0.16	108.68
AttnGAN^[10]	6.38±0.22	96.40

Table 3. Comparison results of image generation time
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Table 3. Comparison results of image generation time
Model Proposed model(full model) Sg2im^[11] StackGAN^[8] AttnGAN^[10]
Time/s 0.0278 0.0216 0.0634 0. 0302

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Youwen Huang, Bin Zhou, Xin Tang. Text Image Generation Method with Scene Description[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410012

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Paper Information

Category: Image Processing

Received: Jun. 30, 2020

Accepted: Aug. 7, 2020

Published Online: Feb. 24, 2021

The Author Email: Zhou Bin (zhoubin_master@163.com)

DOI:10.3788/LOP202158.0410012

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology