mlsanityData to 14 Oct 2026

End-to-End Rubbing Restoration Using Generative Adversarial Networks

arXiv 2205.03743 ↗First posted 8 May 2022cs.CV cs.AIcited by 0

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Abstract (arXiv)

Rubbing restorations are significant for preserving world cultural history. In this paper, we propose the RubbingGAN model for restoring incomplete rubbing characters. Specifically, we collect characters from the Zhang Menglong Bei and build up the first rubbing restoration dataset. We design the first generative adversarial network for rubbing restoration. Based on the dataset we collect, we apply the RubbingGAN to learn the Zhang Menglong Bei font style and restore the characters. The results of experiments show that RubbingGAN can repair both slightly and severely incomplete rubbing characters fast and effectively.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 39 references that are in the map. First posted on arXiv 8 May 2022.

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17 of 39 references.

References · 17

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2022Generative Adversarial Networkscited by 5,627
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  4. 2014Conditional Generative Adversarial Netscited by 2,162
  5. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  6. 2015A Neural Algorithm of Artistic Stylecited by 483
  7. 2016Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networkscited by 192
  8. 2017BEGAN: Boundary Equilibrium Generative Adversarial Networkscited by 121
  9. 2017Multi-Content GAN for Few-Shot Font Style Transfercited by 100
  10. 2016High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesiscited by 90
  11. 2019Image inpainting: A reviewcited by 89
  12. 2017Separating Style and Content for Generalized Style Transfercited by 64
5 more
  1. 2017Auto-Encoder Guided GAN for Chinese Calligraphy Synthesiscited by 29
  2. 2017Learning to Write Stylized Chinese Characters by Reading a Handful of Examplescited by 28
  3. 2018Generating Handwritten Chinese Characters using CycleGANcited by 21
  4. 2018Pyramid Embedded Generative Adversarial Network for Automated Font Generationcited by 11
  5. 2019Handwritten Chinese Font Generation with Collaborative Stroke Refinementcited by 8

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