Inpainting method of generative adversarial network based on improved reconstructed loss function

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Computational Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcse.2025.10071304
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Inpainting method of generative adversarial network based on improved reconstructed loss function

Yin E. Zhang, Ye Xiao, Qi Zhou
International Journal of Computational Science and Engineering
Image Processing Techniques and Applications
article

Inpainting method of generative adversarial network based on improved reconstructed loss function

Yin E. Zhang, Ye Xiao, Qi Zhou
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computational Science and EngineeringVol. 1(1)
Openalex Percentile: Top 85%
Image Processing Techniques and Applications
DOISourceOpenAlex
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Inpainting method of generative adversarial network based on improved reconstructed loss function — Yin E. Zhang, Ye Xiao, et al. · International Journal of Computational Science and Engineering (2025) | TGRS Research Map | TGRS