Ancient mural restoration based on a modified generative adversarial network

Ancient mural restoration based on a modified generative adversarial network

Abstract How to effectively protect ancient murals has become an urgent and important problem. Digital image processing developments have made it possible to repair damaged murals to a certain extent. This study proposes a consistency-enhanced generative adversarial network (GAN) model to repair mis...

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Bibliographic Details
Main Authors: Jianfang Cao, Zibang Zhang, Aidi Zhao, Hongyan Cui, Qi Zhang
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Heritage Science
Subjects:
Generative adversarial network
Fully convolutional network
Residual module
Mural restoration
Online Access:https://doi.org/10.1186/s40494-020-0355-x

Internet

https://doi.org/10.1186/s40494-020-0355-x

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