Large Kernel Convolutional Attention Based U-Net Network for Inpainting Oracle Bone Inscription

Hong Yang, Xiang Chang, Zhihua Guo, Fei Chao*, Changjing Shang, Qiang Shen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Oracle Bone Inscription (OBI) image inpainting is important for inheriting the long history of Chinese culture. The complexity of OBI characters leads to many unique writing characteristics, which increase the difficulty of restoring irregular structures and multiple types of strokes. In this work, we formulate a large kernel convolutional attention based U-Net framework to restore OBI images. The framework consists of two modified U-Nets arranged in a series, which perform an edge inpainting function and an overall image inpainting function, respectively. The implementations of the two U-Nets are identical and each U-Net is composed of an encoder that downsamples input images, followed by eight large kernel convolutional attention blocks, and a decoder that upsamples the image back to its original size. In addition, an adversarial learning algorithm with local and global discriminative networks is used to train the proposed framework to obtain OBI inpainting results. Compared with state-of-the-art image inpainting methods, our experimental results show that the proposed method can achieve the best inpainting results in OBI images; in particular, the method is also suitable to handle the large-area mask tasks.

Original languageEnglish
Title of host publicationPattern Recognition and Computer Vision
Subtitle of host publication6th Chinese Conference, PRCV 2023, Proceedings
EditorsQingshan Liu, Hanzi Wang, Rongrong Ji, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang
PublisherSpringer Nature
Pages117-129
Number of pages13
ISBN (Print)9789819985517
DOIs
Publication statusPublished - 2024
EventThe 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023 - XIAMEN,CHINA, XIAMEN, China
Duration: 13 Oct 202315 Oct 2023
https://www.prcv2023.cn/2023prcv

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14435 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThe 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023
Abbreviated titlePRCV 2023
Country/TerritoryChina
CityXIAMEN
Period13 Oct 202315 Oct 2023
Internet address

Keywords

  • image inpainting
  • irregular structures
  • large kernel convolution
  • Oracle bone inscription

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