Name
Abstract | ||
|---|---|---|
In this paper we present an elegant pixel-based texture synthesis technique that is able to generate visually pleasing results from source textures of both stochastic and structured nature. Inspired by the observation that the most common artifacts that occur when synthesizing textures are high-frequency discontinuities, our technique tries to avoid these artifacts by forcing at least one of the direct neighboring pixels in each causal neighborhood to match within a predetermined threshold. This does not only avoid deterioration of the visual quality, but also results in faster synthesis timings. We demonstrate our technique on a variety of stochastic and structured textures. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1111/j.1467-8659.2007.00942.x | COMPUTER GRAPHICS FORUM |
Keywords | Field | DocType |
texture synthesis, pixel-based techniques, Markov Random Field | Computer vision,Classification of discontinuities,Markov random field,Computer science,Texel,Anisotropic filtering,Artificial intelligence,Pixel,Texture synthesis,Texture atlas,Texture filtering | Journal |
Volume | Issue | ISSN |
26 | 2 | 0167-7055 |
Citations | PageRank | References |
5 | 0.48 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Sabha | 1 | 5 | 0.48 |
| Pieter Peers | 2 | 1109 | 55.34 |
| Philip Dutré | 3 | 999 | 57.67 |