贺佳馨;吕晓琪;张继凯;李菁;

• 1:内蒙古科技大学信息工程学院

• 2:内蒙古工业大学信息工程学院

• 
  

摘要(Abstract)：

针对传统图像修复算法存在的图像细节修复效果差、视觉连贯性不佳以及训练不稳定等问题，将生成对抗网络和孪生神经网络进行结合，孪生神经网络当成GAN中的判别器，并在生成网络中使用均方误差，孪生网络中使用对比损失.实验结果显示，SN-GAN模型在细节修复及视觉连贯性上得到一定提升，并且也更适用于大面积缺损图像的修复.

关键词(KeyWords)： 图像修复;生成对抗网络;孪生神经网络;缺损图像

基金项目(Foundation): 国家自然科学基金资助项目（61771266）;; 内蒙古自治区自然科学基金资助项目（2019BS06005）;; 内蒙古自治区高等学校科学研究基金资助项目（NJZY20095）;; 内蒙古自治区科技计划基金资助项目（2019GG138）

作者(Authors): 贺佳馨;吕晓琪;张继凯;李菁;

DOI: 10.16559/j.cnki.2095-2295.2022.02.014

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