@techreport{liang2001real-time,
author = {Liang, Lin and Liu, Ce and Xu, Ying-Qing and Guo, Baining and Shum, Heung-Yeung},
title = {Real-Time Texture Synthesis By Patch-Based Sampling},
year = {2001},
month = {March},
abstract = {We present a patch-based sampling algorithm for synthesizing textures from an input sample texture. The patch-based sampling algorithm is fast. Using patches of the sample texture as building blocks for texture synthesis, this algorithm makes high-quality texture synthesis a real-time process. For generating textures of the same size and comparable (or better) quality, patch-based sampling is orders of magnitude faster than existing texture synthesis algorithms. The patch-based sampling algorithm synthesizes high-quality textures for a wide variety of textures ranging from regular to stochastic. By sampling patches according to a non-parametric estimation of the local conditional MRF density, we avoid mismatching features across patch boundaries. Moreover, the patch-based sampling algorithm remains effective when pixel-based non-parametric sampling algorithms fail to produce good results. For natural textures, the results of the patch-based sampling look subjectively better.},
url = {http://approjects.co.za/?big=en-us/research/publication/real-time-texture-synthesis-by-patch-based-sampling/},
pages = {21},
number = {MSR-TR-2001-40},
}