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Uncertainty-aware image inpainting with adaptive feedback network

文献类型：期刊论文

作者Ma, Xin1; Zhou, Xiaoqiang2,4; Huang, Huaibo2; Jia, Gengyun3; Wang, Yaohui5; Chen, Xinyuan5; Chen, Cunjian1
刊名EXPERT SYSTEMS WITH APPLICATIONS
出版日期2024
卷号235页码:8
ISSN号0957-4174
关键词Image inpainting Uncertainty estimation Feedback mechanism
DOI10.1016/j.eswa.2023.121148
通讯作者Chen, Cunjian(cunjian.chen@monash.edu)
英文摘要While most image inpainting methods perform well on small image defects, they still struggle to deliver satisfactory results on large holes due to insufficient image guidance. To address this challenge, this paper proposes an uncertainty-aware adaptive feedback network (U2AFN), which incorporates an adaptive feedback mechanism to refine inpainting regions progressively. U2AFN predicts both an uncertainty map and an inpainting result simultaneously. During each iteration, the adaptive integration feedback block utilizes inpainting pixels with low uncertainty to guide the subsequent learning iteration. This process leads to a gradual reduction in uncertainty and produces more reliable inpainting outcomes. Our approach is extensively evaluated and compared on multiple datasets, demonstrating its superior performance over existing methods. The code is available at: https://codeocean.com/capsule/1901983/tree.
资助项目Faculty Initiatives Research, Monash University[2901912] ; NVIDIA Academic Hardware Grant Program ; National Key R&D Program of China[2022ZD0160100] ; Shanghai Committee of Science and Technology[21DZ1100100]
WOS研究方向Computer Science ; Engineering ; Operations Research & Management Science
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:001063057000001
资助机构Faculty Initiatives Research, Monash University ; NVIDIA Academic Hardware Grant Program ; National Key R&D Program of China ; Shanghai Committee of Science and Technology
源URL[http://ir.ia.ac.cn/handle/173211/53167]  
专题多模态人工智能系统全国重点实验室
通讯作者Chen, Cunjian
作者单位1.Monash Univ, Clayton, Australia
2.Chinese Acad Sci, Inst Automat, Nanjing, Peoples R China
3.Nanjing Univ Posts & Telecommun, Sch Commun & Informat Engn, Nanjing, Peoples R China
4.Univ Sci & Technol China, Hefei, Peoples R China
5.Shanghai Artificial Intelligence Lab, Shanghai, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Xin,Zhou, Xiaoqiang,Huang, Huaibo,et al. Uncertainty-aware image inpainting with adaptive feedback network[J]. EXPERT SYSTEMS WITH APPLICATIONS,2024,235:8.
APA Ma, Xin.,Zhou, Xiaoqiang.,Huang, Huaibo.,Jia, Gengyun.,Wang, Yaohui.,...&Chen, Cunjian.(2024).Uncertainty-aware image inpainting with adaptive feedback network.EXPERT SYSTEMS WITH APPLICATIONS,235,8.
MLA Ma, Xin,et al."Uncertainty-aware image inpainting with adaptive feedback network".EXPERT SYSTEMS WITH APPLICATIONS 235(2024):8.

入库方式： OAI收割

来源：自动化研究所

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