Texture Synthesis (Texture Synthesis)
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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 |