Preserving the Autocovariance of Texture Tilings Using Importance Sampling

Lutz, Nicolas; Sauvage, Basile; Dischler, Jean-Michel

Preserving the Autocovariance of Texture Tilings Using Importance Sampling

dc.contributor.author	Lutz, Nicolas	en_US
dc.contributor.author	Sauvage, Basile	en_US
dc.contributor.author	Dischler, Jean-Michel	en_US
dc.contributor.editor	Myszkowski, Karol	en_US
dc.contributor.editor	Niessner, Matthias	en_US
dc.date.accessioned	2023-05-03T06:10:30Z
dc.date.available	2023-05-03T06:10:30Z
dc.date.issued	2023
dc.description.abstract	By-example aperiodic tilings are popular texture synthesis techniques that allow a fast, on-the-fly generation of unbounded and non-periodic textures with an appearance matching an arbitrary input sample called the ''exemplar''. But by relying on uniform random sampling, these algorithms fail to preserve the autocovariance function, resulting in correlations that do not match the ones in the exemplar. The output can then be perceived as excessively random. In this work, we present a new method which can well preserve the autocovariance function of the exemplar. It consists in fetching contents with an importance sampler taking the explicit autocovariance function as the probability density function (pdf) of the sampler. Our method can be controlled for increasing or decreasing the randomness aspect of the texture. Besides significantly improving synthesis quality for classes of textures characterized by pronounced autocovariance functions, we moreover propose a real-time tiling and blending scheme that permits the generation of high-quality textures faster than former algorithms with minimal downsides by reducing the number of texture fetches.	en_US
dc.description.number	2
dc.description.sectionheaders	Materials and Textures
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	42
dc.identifier.doi	10.1111/cgf.14766
dc.identifier.issn	1467-8659
dc.identifier.pages	347-358
dc.identifier.pages	12 pages
dc.identifier.uri	https://doi.org/10.1111/cgf.14766
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf14766
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	CCS Concepts: Computing methodologies -> Rendering; Texturing
dc.subject	Computing methodologies
dc.subject	Rendering
dc.subject	Texturing
dc.title	Preserving the Autocovariance of Texture Tilings Using Importance Sampling	en_US