RNON: image inpainting via repair network and optimization network-Reference-Cited by-同舟云学术

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RNON: image inpainting via repair network and optimization network

Published:2023-03-25 Issue:9 Volume:14 Page:2945-2961
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Chen Yuantao^ORCID,Xia Runlong,Zou Ke,Yang Kai

Funder

Natural Science Foundation of Hunan Province of China

Changsha Major Science and Technology Projects

A Project Supported by Scientific Research Fund of Hunan Provincial Education Department

Scientific Research Project of Hunan University of Information Technology

College Students' Innovative Entrepreneurial Training Plan Program of Hunan University of Information Technology

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-01811-y.pdf

Reference43 articles.

1. Newson A, Almansa A, Fradet M, Gousseau Y, Perez P (2014) Video inpainting of complex scenes. Siam J Imaging Sci 7(4):1993–2019

2. Levin A, Zomet AA, Peleg S and Weiss Y (2004) Seamless image stitching in the gradient domain. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 377–389

3. Barnes C, Shechtman E, Finkelstein A, Goldman DB (2009) Patch match: a randomized correspondence algorithm for structural image editing. ACM Trans Graphics 28(3):2–11

4. Zheng C, Cham T and Cai J (2019) Pluralistic image completion. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1438–1447

5. Iizuka S, Simo-Serra E, Ishikawa H (2017) Globally and locally consistent image completion. ACM Trans Graphics 36(4):1–14

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