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» Multiscale texture synthesis
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TIP
1998
124views more  TIP 1998»
14 years 9 months ago
Texture synthesis via a noncausal nonparametric multiscale Markov random field
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
Rupert Paget, I. Dennis Longstaff
SIGGRAPH
2010
ACM
15 years 2 months ago
Synthesizing structured image hybrids
Example-based texture synthesis algorithms generate novel texture images from example data. A popular hierarchical pixel-based approach uses spatial jitter to introduce diversity,...
Eric Risser, Charles Han, Rozenn Dahyot, Eitan Gri...
WSCG
2004
217views more  WSCG 2004»
14 years 11 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman
75
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TOG
2008
107views more  TOG 2008»
14 years 9 months ago
Multiscale texture synthesis
Example-based texture synthesis algorithms have gained widespread popularity for their ability to take a single input image and create a perceptually similar non-periodic texture....
Charles Han, Eric Risser, Ravi Ramamoorthi, Eitan ...
TOG
2002
111views more  TOG 2002»
14 years 9 months ago
Self-similarity based texture editing
Figure 1 Flowers expanded using self-similarity based texture warping. We present a simple method of interactive texture editing that utilizes self-similarity to replicate intende...
Stephen Brooks, Neil A. Dodgson