Ancient Textual Restoration Using Deep Neural Networks: A Literature Review
Author:
Affiliation:
1. University Of Karbala,College Of Computer Science and Information Technology,Department of computer science,Karbala,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217216/10217846/10218159.pdf?arnumber=10218159
Reference29 articles.
1. From invisibility to readability: Recovering the ink of Herculaneum
2. EA-GAN: Ancient books text restoration model based on example attention;zheng,2022
3. Qumran Letter Restoration by Rotation and Reflection Modified PixelCNN
4. A Character Attention Generative Adversarial Network for Degraded Historical Document Restoration
5. DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Utilizing Digital Technology to promote the transformation and upgrading of the utilization of ancient literature in the new era based on the ancient literature digitization project of Southwest Minzu University Library;SHS Web of Conferences;2023
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