Generative Adversarial Network for Mural Inpainting Based on Multi-level Feature Fusion and Hypergraph Convolution

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Generative Adversarial Network for Mural Inpainting Based on Multi-level Feature Fusion and Hypergraph Convolution

INFORMATION ENGINEERING | 更新时间：2024-08-22

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- Generative Adversarial Network for Mural Inpainting Based on Multi-level Feature Fusion and Hypergraph Convolution
- “在壁画修复领域，研究人员提出了一种新的深度学习模型，通过多层次特征融合与超图卷积技术，有效提升了破损壁画的修复质量。该方法在敦煌壁画数字化修复实验中表现出色，修复结果更加清晰自然。”
- Advanced Engineering Sciences Vol. 56, Issue 3, Pages: 208-218(2024)
- 作者机构：
  
  1.兰州交通大学电子与信息工程学院，甘肃兰州 730070
  2.甘肃省人工智能与图形图像处理工程研究中心，甘肃兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202200874
  CLC： TP319.4
- Published：20 May 2024，
  
  Published Online：24 April 2024，
  
  Received：18 August 2022，
  
  Revised：11 March 2023，
- 稿件说明：
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陈永,陶美风,赵梦雪.多层次特征融合与超图卷积的生成对抗壁画修复[J].工程科学与技术,2024,56(3):208–218

Chen Yong,Tao Meifeng,Zhao Mengxue.Generative adversarial network for mural inpainting based on multi-level feature fusion and hypergraph convolution[J].Advanced Engineering Sciences,2024,56(3):208–218
陈永,陶美风,赵梦雪.多层次特征融合与超图卷积的生成对抗壁画修复[J].工程科学与技术,2024,56(3):208–218 DOI： 10.12454/j.jsuese.202200874.

Chen Yong,Tao Meifeng,Zhao Mengxue.Generative adversarial network for mural inpainting based on multi-level feature fusion and hypergraph convolution[J].Advanced Engineering Sciences,2024,56(3):208–218 DOI： 10.12454/j.jsuese.202200874.

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