most citedEnd-to-End Rubbing Restoration Using Generative Adversarial Networks

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 6 cited

End-to-End Rubbing Restoration Using Generative Adversarial Networks

Gongbo Sun, Zijie Zheng, Ming Zhang

Rubbing restorations are significant for preserving world cultural history. In this paper, we propose the RubbingGAN model for restoring incomplete rubbing characters. Specifically…