GAGCN: Generative adversarial graph convolutional network for non‐homogeneous texture extension synthesis

GAGCN: Generative adversarial graph convolutional network for non‐homogeneous texture extension synthesis

Abstract In the non‐homogeneous texture synthesis task, the overall visual characteristics should be consistent when extending the local patterns of the exemplar. The existing methods mainly focus on the local visual features of patterns but ignore the relative position features that are important f...

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Bibliographic Details
Main Authors: Shasha Xie, Wenhua Qian, Rencan Nie, Dan Xu, Jinde Cao
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Image Processing
Subjects:
attention mechanism
generative adversarial networks
graph convolutional networks
non‐homogeneous texture synthesis
Online Access:https://doi.org/10.1049/ipr2.12741

Internet

https://doi.org/10.1049/ipr2.12741

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