Title
Learning-Based Texture Synthesis and Automatic Inpainting Using Support Vector Machines.
Abstract
Texture synthesis methods based on patch sampling and pasting can generate realistic textures with a similar appearance to a small sample. However, the sample usually has to be used throughout the synthesis stage. In contrast, the learned representation of the textures is more compact and discriminative, and can also yield good synthesis results. In this paper, we introduce a learned approach for ...
Year
DOI
Venue
2019
10.1109/TIE.2018.2866043
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
Support vector machines,Surface texture,Three-dimensional displays,Two dimensional displays,Feature extraction,Training,Extrapolation
Pattern recognition,Support vector machine,Inpainting,Feature extraction,Control engineering,Extrapolation,Parametric statistics,Sampling (statistics),Artificial intelligence,Engineering,Discriminative model,Texture synthesis
Journal
Volume
Issue
ISSN
66
6
0278-0046
Citations 
PageRank 
References 
2
0.37
0
Authors
6
Name
Order
Citations
PageRank
Xinghui Dong1145.00
Junyu Dong239377.68
Guimei Sun351.10
Yuanxu Duan420.37
Lin Qi5278.68
Hui Yu612821.50