GCAM: lightweight image inpainting via group convolution and attention mechanism-Reference-Cited by-同舟云学术

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GCAM: lightweight image inpainting via group convolution and attention mechanism

Published:2023-10-28 Issue: Volume: Page:
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,Yang Kai,Zou Ke

Funder

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

China University Innovation Funding - Beslin Smart Education Project

Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province

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/s13042-023-01999-z.pdf

Reference31 articles.

1. Harald G (2004) A combined PDE and texture synthesis approach to in-painting. In: Proceedings of 8th European Conference on Computer Vision, Prague, Czech Republic, pp 214–224.

2. Rane SD, Sapiro G, Bertalmio M (2003) Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Trans Image Process 12(3):296–303

3. Criminisi A, Pérez P, Toyama K (2004) Region filling and object removal by exemplar-based image inpainting. IEEE Trans Image Process 13(9):1200–1212

4. Shen J, Chan TF (2002) Mathematical models for local nontexture inpaintings. J SIAM Appl Math 62(3):1019–1043

5. Hays J, Efros AA (2007) Scene completion using millions of photographs. ACM Trans Graph 26(3):4

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