Real time texture synthesis using patch based sampling




















Results Citations. Figures, Tables, and Topics from this paper. Citation Type. Has PDF. Publication Type. More Filters. Fast and high quality overlap repair for patch-based texture synthesis. Proceedings Computer Graphics International, View 2 excerpts, cites methods. Research on texture synthesis has made substantial progress in recent years, and many patch-based sampling algorithms now produce quality results in an acceptable computation time.

However, when such … Expand. Highly Influenced. View 4 excerpts, cites background and methods. Performance evaluation of a novel sampling-based texture synthesis technique using different sized patches. Mathematics, Computer Science. Signal Image Video Process. View 3 excerpts, cites background. View 2 excerpts, cites background and methods. An Adaptive Texture Synthesis Algorithm. Patch-based texture synthesis has proven to produce reasonable results for a wide variety of texture classes.

In this paper, an effective adaptive texture synthesis method is proposed based on the … Expand. View 2 excerpts, cites background. Image Graph. View 4 excerpts, cites methods and background. Patch-based multi-resolution real-time texture synthesis in wavelet domain. Texture synthesis has been studied for many years, but it is still difficult to achieve real-time implementation and high quality simultaneously. We present a discrete-wavelet-transform DWT based … Expand. On pixel-based texture synthesis by non-parametric sampling.

View 5 excerpts, cites background. Patch Map for Fast Texture Synthesis. A novel texture synthesis method is presented to form large and feature-preserved textures. The task of texture synthesis is divided into two phases: analysis, and synthesis. During the analysis … Expand. 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.



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