Semi-discrete Optimal Transport in Patch Space for Enriching Gaussian Textures

被引：1
|
作者：
Galerne, Bruno [1 ,2 ]
Leclaire, Arthur [3 ]
Rabin, Julien [4 ]
机构：
[1] Univ Paris 05, Lab MAP5, Paris, France
[2] CNRS, Sorbonne Paris Cite, Paris, France
[3] Univ Paris Saclay, CNRS, ENS Cachan, CMLA, F-94235 Cachan, France
[4] Normandie Univ, ENSICAEN, CNRS, GREYC, F-14000 Caen, France
来源：
GEOMETRIC SCIENCE OF INFORMATION, GSI 2017 | 2017年 / 10589卷
关键词：
Optimal transport; Texture synthesis; Patch distribution; IMAGE;
D O I：
10.1007/978-3-319-68445-1_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A bilevel texture model is proposed, based on a local transform of a Gaussian random field. The core of this method relies on the optimal transport of a continuous Gaussian distribution towards the discrete exemplar patch distribution. The synthesis then simply consists in a fast post-processing of a Gaussian texture sample, boiling down to an improved nearest-neighbor patch matching, while offering theoretical guarantees on statistical compliancy.
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页码：100 / 108
页数：9
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