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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