Image Inpainting Based on Structural Constraint and Multi-Scale Feature Fusion-Reference-Cited by-同舟云学术

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Image Inpainting Based on Structural Constraint and Multi-Scale Feature Fusion

Published:2023 Issue: Volume:11 Page:16567-16587
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fan Yao¹^ORCID,Shi Yingnan¹^ORCID,Zhang Ningjun²^ORCID,Chu Yanli³

Affiliation:

1. College of Information Engineering, Xizang Minzu University, Xianyang, China

2. College of Information Engineering, Zhengzhou Institute of Science and Technology, Zhengzhou, China

3. College of Equipment Management and Guarantee, University of CAPF, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10047891.pdf?arnumber=10047891

Reference43 articles.

1. Generative Image Inpainting with Contextual Attention

2. Spatial pattern templates for recognition of objects with regular structure;tyle?ek;Proc GCPR,2013

3. Shift-Net: Image Inpainting via Deep Feature Rearrangement

4. Image Inpainting Using Channel Attention and Hierarchical Residual Networks

5. Coherent Semantic Attention for Image Inpainting

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structure Guided Global and Local Attention Transformer for Image Inpainting of Obscured Ships in Maritime Surveillance;IEEE Access;2024

2. Scene Text Segmentation via Multi-Task Cascade Transformer With Paired Data Synthesis;IEEE Access;2023

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