Title | ||
---|---|---|
Learning-Based Texture Synthesis and Automatic Inpainting Using Support Vector Machines. |
Abstract | ||
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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 Dong | 1 | 14 | 5.00 |
Junyu Dong | 2 | 393 | 77.68 |
Guimei Sun | 3 | 5 | 1.10 |
Yuanxu Duan | 4 | 2 | 0.37 |
Lin Qi | 5 | 27 | 8.68 |
Hui Yu | 6 | 128 | 21.50 |