University College London
Texture synthesis has grown into a mature field in computer graphics, allowing the synthesis of naturalistic textures and images from photographic exemplars. Surprisingly little work, however, has been dedicated to synthesizing tileable textures, that is, textures that when laid out in a regular grid of tiles form a homogeneous appearance suitable for use in memory-sensitive real-time graphics applications. One of the key challenges in doing so is that most natural input exemplars exhibit uneven spatial variations that, when tiled, show as repetitive patterns. We propose an approach to synthesize tileable textures while enforcing stationarity properties that effectively mask repetitions while maintaining the unique characteristics of the exemplar. We explore a number of alternative measures for texture stationarity and show how each measure can be integrated into a standard texture synthesis method (PatchMatch) to enforce stationarity at user-controlled scales. We demonstrate the efficacy of our approach using a database of 118 exemplar images, both from publicly available sources as well as new ones captured under uncontrolled conditions, and we quantitatively analyze alternative stationarity measures for their robustness across many test runs using different random seeds. In conclusion, we suggest a novel synthesis approach that employs local histogram matching to reliably turn input photographs of natural surfaces into tiles well suited for artifact-free tiling.
Joep Moritz, Stuart James, Tom S. F. Haines, Tobias Ritschel, Tim Weyrich.
Computer Graphics Forum (Proc. Eurographics), 36(2), 13 pages, 2017.Joep Moritz, Stuart James, Tom S. F. Haines, Tobias Ritschel, and Tim Weyrich. Texture stationarization: Turning photos into tileable textures. Computer Graphics Forum (Proc. Eurographics), 36(2):1–13, 2017.Moritz, J., James, S., Haines, T. S. F., Ritschel, T., and Weyrich, T. 2017. Texture stationarization: Turning photos into tileable textures. Computer Graphics Forum (Proc. Eurographics) 36, 2, 1–13.J. Moritz, S. James, T. S. F. Haines, T. Ritschel, and T. Weyrich, “Texture stationarization: Turning photos into tileable textures,” Computer Graphics Forum (Proc. Eurographics), vol. 36, no. 2, pp. 1–13, 2017.
This work was funded by UCL’s EngD VEIV Centre for Doctoral Training, with sponsoring by the Procter & Gamble Company and kind support by Dr. Paul Matts, and by the Engineering and Physical Sciences Research Council (grant EP/K023578/1).