Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2552-2555

Unsupervised image style transfer based on image mask

Kong Lengrui
Teng Shaohua
College of Computer, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0093

Abstract

At present, most of the current image style transfer methods are supervised learning, the training data need to appear in pairs. And when the background of the image needs to be processed, the existing methods are too cumbersome. In order to solve these problems, this paper proposed a new method of unsupervised image style transfer based on image mask. In the experiment, it adopted the architecture of the cycle-consistent generative adversarial network, and used the Inception-ResNet structure as the basic component to design a new generative model with the built-in image mask. At last, it automatically reconstructed the background of the image and the learned abstract features through unsupervised learning. Experiments show that the proposed method can effectively separate and reconstruct the background and the learned abstract features of the image, and solves the problem of regional interference in the feature learning process, and achieves considerable visual effects.

Foundation Support

国家自然科学基金资助项目(61402118,61673123,61603100,61702110)
广东省科技计划项目(2015B090901016,2016B010108007)
广东省教育厅项目(粤教高函［2018］1号,粤教高函［2015］133号,粤教高函［2014］97号)
广州市科技计划项目(201604020145,201604030034,201508010067,201604046017,201802010026,201802010042)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0093
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Technology of Graphic & Image
Pages: 2552-2555
Serial Number: 1001-3695(2020)08-066-2552-04

Publish History

[2020-08-05] Printed Article

Cite This Article

孔棱睿, 滕少华. 基于图像蒙板的无监督图像风格迁移 [J]. 计算机应用研究, 2020, 37 (8): 2552-2555. (Kong Lengrui, Teng Shaohua. Unsupervised image style transfer based on image mask [J]. Application Research of Computers, 2020, 37 (8): 2552-2555. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)