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.

引用

页码：100 / 108

页数：9

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