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Local random-phase noise for procedural texturing

Authors:

Guillaume Gilet,

Basile Sauvage,

Kenneth Vanhoey,

Jean-Michel Dischler,

Djamchid GhazanfarpourAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 33, Issue 6

Article No.: 195, Pages 1 - 11

https://doi.org/10.1145/2661229.2661249

Published: 19 November 2014 Publication History

Abstract

Local random-phase noise is a noise model for procedural texturing. It is defined on a regular spatial grid by local noises, which are sums of cosines with random phase. Our model is versatile thanks to separate sampling in the spatial and spectral domains. Therefore, it encompasses Gabor noise and noise by Fourier series. A stratified spectral sampling allows for a faithful yet compact and efficient reproduction of an arbitrary power spectrum. Noise by example is therefore obtained faster than state-of-the-art techniques. As a second contribution we address texture by example and generate not only Gaussian patterns but also structured features present in the input. This is achieved by fixing the phase on some part of the spectrum. Generated textures are continuous and non-repetitive. Results show unprecedented framerates and a flexible visual result: users can control with one parameter the blending between noise by example and structured texture synthesis.

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Cited By

Lutz NSchoentgen AGilet G(2024)Fast orientable aperiodic ocean synthesis using tiling and blendingProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753887:3(1-22)Online publication date: 9-Aug-2024
https://dl.acm.org/doi/10.1145/3675388
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
Grenier CGuérin ÉGalin ÉSauvage B(2023)Real‐time Terrain Enhancement with Controlled Procedural PatternsComputer Graphics Forum10.1111/cgf.1499243:1Online publication date: 23-Nov-2023
https://doi.org/10.1111/cgf.14992
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Index Terms

Local random-phase noise for procedural texturing
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Rendering

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 33, Issue 6

November 2014

704 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2661229

Issue’s Table of Contents

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2014

Published in TOG Volume 33, Issue 6

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Cited By

Lutz NSchoentgen AGilet G(2024)Fast orientable aperiodic ocean synthesis using tiling and blendingProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753887:3(1-22)Online publication date: 9-Aug-2024
https://dl.acm.org/doi/10.1145/3675388
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
Grenier CGuérin ÉGalin ÉSauvage B(2023)Real‐time Terrain Enhancement with Controlled Procedural PatternsComputer Graphics Forum10.1111/cgf.1499243:1Online publication date: 23-Nov-2023
https://doi.org/10.1111/cgf.14992
Lutz NSauvage BDischler J(2023)Preserving the autocovariance of texture tilings using importance samplingComputer Graphics Forum10.1111/cgf.1476642:2(347-358)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14766
Grenier CSauvage BDischler JThery S(2023)Color‐mapped noise vector fields for generating procedural micro‐patternsComputer Graphics Forum10.1111/cgf.1469341:7(477-487)Online publication date: 20-Mar-2023
https://doi.org/10.1111/cgf.14693
Rodriguez-Pardo CGarces E(2023)SeamlessGAN: Self-Supervised Synthesis of Tileable Texture MapsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314361529:6(2914-2925)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3143615
Baldi GAllègre RDischler J(2023)Differentiable point process texture basis functions for inverse procedural modeling of cellular stochastic structuresComputers and Graphics10.1016/j.cag.2023.04.004112:C(116-131)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.cag.2023.04.004
Guo SDeschaintre VNoll DRoullier A(2022)U-Attention to Textures: Hierarchical Hourglass Vision Transformer for Universal Texture SynthesisProceedings of the 19th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3565516.3565525(1-10)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3565516.3565525
Hu YHe CDeschaintre VDorsey JRushmeier H(2022)An Inverse Procedural Modeling Pipeline for SVBRDF MapsACM Transactions on Graphics10.1145/350243141:2(1-17)Online publication date: 4-Jan-2022
https://dl.acm.org/doi/10.1145/3502431
Li XVincent JWeller RZachmann G(2022)Numerical approach to synthesizing realistic asteroid surfaces from morphological parametersAstronomy & Astrophysics10.1051/0004-6361/202140709659(A176)Online publication date: 25-Mar-2022
https://doi.org/10.1051/0004-6361/202140709
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