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...
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...
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...
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 ...
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...