Texture Synthesis

Given a texture sample, synthesize a new texture that, when perceived by a human observer, appears to be generated by the same underlying stochastic process.

Parameters

$n$ : number of pixels

Filters

Computational Model

Randomization

Approximation

Algorithms Table

Displaying 6 of 6 algorithms


Spatial GAN-Based; Urs Bergmann, Nikolay Jetchev, Roland Vollgraf	2017	$O(N)$	$O(N)$
image analogies Hertzmann	2001	$O(N \log n)$
Image quilting Efros-Freeman	2001	$O(n^3)$
tree-structured vector quantization Wei-Levoy	2000	$O(n^2 \log n)$	$O(nd)$
non-parametric sampling Efros and Leung	1999	$O(n^3)$
R. Paget ; I.D. Longstaff	1998	$O(n^3)$

Reductions Table

Insuffient Data to display table

Other relevant algorithms

Displaying 2 of 2 other relevant algorithms


Kwatra 2003	2003
CNN Based Gatys; Leon A 2001	2001