![]() ![]() ![]() By referring to the features of the example character, the damaged character can be restored accurately even when the damaged area is large. Inspired by human’s imitation writing behavior, a two-branch structure character restoration network EA-GAN (Example Attention Generative Adversarial Network) is proposed, which is based on a generative adversarial network and fuses reference examples. However, reconstructing characters often causes errors, especially when there is large damage in critical locations. Traditional character restoration methods ensure the visual consistency of character images through character features and the pixels around the damaged area. ![]() The restoration by digital preservation of ancient books is a new method of conservation. Unfortunately, many of these books have been damaged and corroded in the process of long-term transmission. Ancient Chinese books are of great significance to historical research and cultural inheritance. ![]()
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