Texture Synthesis: Difference between revisions
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(Created page with "{{DISPLAYTITLE:Texture Synthesis (Texture Synthesis)}} == Description == 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 == <pre>n: number of pixels</pre> == Table of Algorithms == {| class="wikitable sortable" style="text-align:center;" width="100%" ! Name !! Year !! Time !! Space !! Approximation Factor !! Model !! Reference |- | tre...") |
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== Parameters == | == Parameters == | ||
$n$: number of pixels | |||
== Table of Algorithms == | == Table of Algorithms == | ||
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| [[non-parametric sampling Efros and Leung (Texture Synthesis Texture Synthesis)|non-parametric sampling Efros and Leung]] || 1999 || $O(n^{3})$ || || || Deterministic || [https://ieeexplore.ieee.org/abstract/document/790383 Time] | | [[non-parametric sampling Efros and Leung (Texture Synthesis Texture Synthesis)|non-parametric sampling Efros and Leung]] || 1999 || $O(n^{3})$ || || || Deterministic || [https://ieeexplore.ieee.org/abstract/document/790383 Time] | ||
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| [[image analogies Hertzmann (Texture Synthesis Texture Synthesis)|image analogies Hertzmann]] || 2001 || $O(N log n)$ || || || Deterministic || [https://dl.acm.org/doi/abs/10.1145/383259.383295 Time] | | [[image analogies Hertzmann (Texture Synthesis Texture Synthesis)|image analogies Hertzmann]] || 2001 || $O(N \log n)$ || || || Deterministic || [https://dl.acm.org/doi/abs/10.1145/383259.383295 Time] | ||
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| [[R. Paget ; I.D. Longstaff (Texture Synthesis Texture Synthesis)|R. Paget ; I.D. Longstaff]] || 1998 || $O(n^{3})$ || || || Deterministic || [https://ieeexplore.ieee.org/abstract/document/679446 Time] | | [[R. Paget ; I.D. Longstaff (Texture Synthesis Texture Synthesis)|R. Paget ; I.D. Longstaff]] || 1998 || $O(n^{3})$ || || || Deterministic || [https://ieeexplore.ieee.org/abstract/document/679446 Time] |
Latest revision as of 08:24, 10 April 2023
Description
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
Table of Algorithms
Name | Year | Time | Space | Approximation Factor | Model | Reference |
---|---|---|---|---|---|---|
tree-structured vector quantization Wei-Levoy | 2000 | $O(n^{2} log n)$ | $O(nd)$ | Deterministic | Time & Space | |
Spatial GAN-Based; Urs Bergmann, Nikolay Jetchev, Roland Vollgraf | 2017 | $O(N)$ | $O(N)$ | Deterministic | Time & Space | |
non-parametric sampling Efros and Leung | 1999 | $O(n^{3})$ | Deterministic | Time | ||
image analogies Hertzmann | 2001 | $O(N \log n)$ | Deterministic | Time | ||
R. Paget ; I.D. Longstaff | 1998 | $O(n^{3})$ | Deterministic | Time | ||
Image quilting Efros-Freeman | 2001 | $O(n^{3})$ | Deterministic | Time | ||
Kwatra | 2003 | $O(n^{3})$ | Deterministic | Time | ||
CNN Based Gatys; Leon A | 2001 | $O(n^{3})$ | Deterministic |