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High-Resolution Realistic Image Synthesis from Text Using Iterative Generative Adversarial Network

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成果类型:
期刊论文、会议论文
作者:
Ullah, Anwar;Yu, Xinguo*;Majid, Abdul;Rahman, Hafiz Ur;Mughal, M. Farhan
通讯作者:
Yu, Xinguo
作者机构:
[Majid, Abdul; Ullah, Anwar; Yu, Xinguo] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
[Rahman, Hafiz Ur] Guangzhou Univ, Sch Comp Sci, Guangzhou 510006, Peoples R China.
[Mughal, M. Farhan] Tianjin Univ Finance & Econ, Tianjin, Peoples R China.
通讯机构:
[Yu, Xinguo] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
语种:
英文
关键词:
Generative Adversarial Network (GAN);Iterative GAN;Text-to-image synthesis;CUB dataset;Oxford-102 dataset;Inception score;Human rank
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2019
卷:
11854
页码:
211-224
会议名称:
9th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
会议论文集名称:
Lecture Notes in Computer Science
会议时间:
NOV 18-22, 2019
会议地点:
Sydney, AUSTRALIA
会议主办单位:
[Ullah, Anwar;Yu, Xinguo;Majid, Abdul] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.^[Rahman, Hafiz Ur] Guangzhou Univ, Sch Comp Sci, Guangzhou 510006, Peoples R China.^[Mughal, M. Farhan] Tianjin Univ Finance & Econ, Tianjin, Peoples R China.
主编:
Lee, C Su, Z Sugimoto, A
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
SPRINGER INTERNATIONAL PUBLISHING AG
ISBN:
978-3-030-34879-3; 978-3-030-34878-6
基金类别:
General Program of the National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61977029]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Synthesizing high-resolution realistic images from text description using one iteration Generative Adversarial Network (GAN) is difficult without using any additional techniques because mostly the blurry artifacts and mode collapse problems are occurring. To reduce these problems, this paper proposes an Iterative Generative Adversarial Network (iGAN) which takes three iterations to synthesize high-resolution realistic image from their text description. In the \(1^{st}\) iteration, GAN synthesizes a low-resolution \(64 \times 64\) pixels basic shape and basic color image from the text descripti...

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