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» Multiscale texture synthesis
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TIP
1998
124views more  TIP 1998»
13 years 4 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
13 years 9 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»
13 years 5 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
TOG
2008
107views more  TOG 2008»
13 years 4 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»
13 years 4 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