COMPARISON OF TEXTURE SYNTHESIS METHODS BY SAMPLE
Abstract and keywords
Abstract (English):
This article provides a comparative analysis of existing texture synthesis methods. The advantages and disadvantages of the methods are revealed. In our work, we were guided by the results of extensive expert testing, which was attended by more than 25 people on 20 fundamentally different textures. This allowed us to draw conclusions about what types of textures which methods should be used. Our study showed that recently popular neural network and statistical methods are neither the best in terms of synthesis quality nor speed. However, they also generate more diverse textures. On the other hand, the easiest and fastest method for rearranging patches showed the best quality and speed. Thus, pattern synthesis of textures is one of the promising areas of research in which different approaches have different advantages.

Keywords:
computer graphics, texture synthesis, comparison
References

1. Alexei A. Efros and William T. Freeman. 2001. Image quilting for texture synthesis and transfer. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques (SIGGRAPH '01). ACM, New York, NY, USA, 341- 346. DOI: https://doi.org/10.1145/383259.383296

2. Alexei A. Efros and Thomas K. Leung. 1999. Texture Synthesis by Non-Parametric Sampling. In Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2 (ICCV '99), Vol. 2. IEEE Computer Society, Washington, DC, USA, 1033-.

3. Jeremy S. De Bonet. 1997. Multiresolution sampling procedure for analysis and synthesis of texture images. In Proceedings of the 24th annual conference on Computer graphics and interactive techniques (SIGGRAPH '97). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 361-368. DOI: https://doi.org/10.1145/258734.258882

4. Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge. 2015. Texture synthesis using convolutional neural networks. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (NIPS'15), C. Cortes, D. D. Lee, M. Sugiyama, and R. Garnett (Eds.), Vol. 1. MIT Press, Cambridge, MA, USA, 262-270.

5. Lin Liang, Ce Liu, Ying-Qing Xu, Baining Guo, and Heung-Yeung Shum. 2001. Real-time texture synthesis by patchbased sampling. ACM Trans. Graph. 20, 3 (July 2001), 127-150. DOI=http://dx.doi.org/10.1145/501786.501787

6. Omry Sendik and Daniel Cohen-Or. 2017. Deep Correlations for Texture Synthesis. ACM Trans. Graph. 36, 5, pages. DOI: https://doi.org/10.1145/3015461

7. Li-Yi Wei and Marc Levoy. 2000. Fast texture synthesis using tree-structured vector quantization. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques (SIGGRAPH '00). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 479-488. DOI=http://dx.doi.org/10.1145/344779.345009

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