research-article

Procedural isotropic stochastic textures by example

Authors:

Philip DutréAuthors Info & Claims

Computers and Graphics, Volume 34, Issue 4

Pages 312 - 321

https://doi.org/10.1016/j.cag.2010.05.004

Published: 01 August 2010 Publication History

Abstract

Image textures can easily be created using texture synthesis by example. However, creating procedural textures is much more difficult. This is unfortunate, since procedural textures have significant advantages over image textures. In this paper we address the problem of texture synthesis by example for procedural textures. We introduce a method for procedural multiresolution noise by example. Our method computes the weights of a procedural multiresolution noise, a simple but common class of procedural textures, from an example. We illustrate this method by using it as a key component in a method for texture synthesis by example for isotropic stochastic procedural textures. Our method significantly facilitates the creation of these procedural textures. Graphical AbstractIn this paper, we present a method for texture synthesis by example for procedural isotropic stochastic textures. Our method is illustrated in the example, which shows a photograph of a real-world scene, a photograph of a texture in the scene, a cropped version of the photograph of the texture, a procedural texture automatically generated from the cropped version of the photograph using our method, and a rendering of a virtual scene textured using several of these procedural textures.Display Omitted Research Highlights Stochastic textures are well reproduced by matching the power spectrum and the histogram in a decorrelated color space. The weights of a procedural multiresolution noise can be computed from an exemplar using a simple direct method. Unsuccessfully synthesized textures are often still usable at a low level of detail or in a preattentive context.

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Li BShi LMatusik W(2023)End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer OptimizationACM Transactions on Graphics10.1145/359213242:4(1-15)Online publication date: 26-Jul-2023
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Procedural isotropic stochastic textures by example
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cover image Computers and Graphics

Computers and Graphics Volume 34, Issue 4

August, 2010

189 pages

ISSN:0097-8493

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 August 2010

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Cited By

Li BShi LMatusik W(2023)End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer OptimizationACM Transactions on Graphics10.1145/359213242:4(1-15)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592132
dos Anjos RWalton DAkşit KFriston SSwapp DSteed ARitschel T(2023)Metameric Inpainting for Image WarpingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.321671229:12(5511-5522)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3216712
Walton DAnjos RFriston SSwapp DAkşit KSteed ARitschel T(2021)Beyond blurACM Transactions on Graphics10.1145/3450626.345994340:4(1-14)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459943
Hu YDorsey JRushmeier H(2019)A novel framework for inverse procedural texture modelingACM Transactions on Graphics10.1145/3355089.335651638:6(1-14)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356516
Hyttinen TMäkinen EPoranen TTurunen MVäätäjä HPaavilainen JOlsson T(2017)Terrain synthesis using noise by examplesProceedings of the 21st International Academic Mindtrek Conference10.1145/3131085.3131099(17-25)Online publication date: 20-Sep-2017
https://dl.acm.org/doi/10.1145/3131085.3131099
Kang HHan J(2017)Feature-preserving procedural textureThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-017-1375-833:6-8(761-768)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s00371-017-1375-8
Sim YKang HHan JLee GChoi MHeo JJeon SPark NJung H(2016)Multi-resolution Perlin Noise Decomposition and Procedural Texture Synthesis by ExampleProceedings of HCI Korea10.17210/hcik.2016.01.382(382-388)Online publication date: 27-Jan-2016
https://dl.acm.org/doi/10.17210/hcik.2016.01.382
Gilet GSauvage BVanhoey KDischler JGhazanfarpour D(2014)Local random-phase noise for procedural texturingACM Transactions on Graphics10.1145/2661229.266124933:6(1-11)Online publication date: 19-Nov-2014
https://dl.acm.org/doi/10.1145/2661229.2661249
Gieseke LKoch SHahn JFuchs MJarosz WPeers P(2014)Interactive parameter retrieval for two-tone procedural texturesProceedings of the 25th Eurographics Symposium on Rendering10.1111/cgf.12414(71-79)Online publication date: 25-Jun-2014
https://dl.acm.org/doi/10.1111/cgf.12414
Nguyen CRitschel TMyszkowski KEisemann ESeidel H(2012)3D Material Style TransferComputer Graphics Forum10.5555/2318896.231890231:2pt2(431-438)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.5555/2318896.2318902
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