research-article

Multiscale texture synthesis

Authors:

Ravi Ramamoorthi,

Eitan GrinspunAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 27, Issue 3

Pages 1 - 8

https://doi.org/10.1145/1360612.1360650

Published: 01 August 2008 Publication History

Abstract

Example-based texture synthesis algorithms have gained widespread popularity for their ability to take a single input image and create a perceptually similar non-periodic texture. However, previous methods rely on single input exemplars that can capture only a limited band of spatial scales. For example, synthesizing a continent-like appearance at a variety of zoom levels would require an impractically high input resolution. In this paper, we develop a multiscale texture synthesis algorithm. We propose a novel example-based representation, which we call an exemplar graph, that simply requires a few low-resolution input exemplars at different scales. Moreover, by allowing loops in the graph, we can create infinite zooms and infinitely detailed textures that are impossible with current example-based methods. We also introduce a technique that ameliorates inconsistencies in the user's input, and show that the application of this method yields improved interscale coherence and higher visual quality. We demonstrate optimizations for both CPU and GPU implementations of our method, and use them to produce animations with zooming and panning at multiple scales, as well as static gigapixel-sized images with features spanning many spatial scales.

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Cited By

Wolski KDjeacoumar AJavanmardi ASeidel HTheobalt CCordonnier GMyszkowski KDrettakis GPan XLeimkühler T(2024)Learning Images Across Scales Using Adversarial TrainingACM Transactions on Graphics10.1145/365819043:4(1-13)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658190
Zhang HYang LLi CWu BWang W(2021)ScaffoldGAN: Synthesis of Scaffold Materials based on Generative Adversarial NetworksComputer-Aided Design10.1016/j.cad.2021.103041138(103041)Online publication date: Sep-2021
https://doi.org/10.1016/j.cad.2021.103041
Frühstück AAlhashim IWonka P(2019)TileGANACM Transactions on Graphics10.1145/3306346.332299338:4(1-11)Online publication date: 12-Jul-2019
https://dl.acm.org/doi/10.1145/3306346.3322993
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Index Terms

Multiscale texture synthesis
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 27, Issue 3

August 2008

844 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1360612

Issue’s Table of Contents

Copyright © 2008 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2008

Published in TOG Volume 27, Issue 3

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Cited By

Wolski KDjeacoumar AJavanmardi ASeidel HTheobalt CCordonnier GMyszkowski KDrettakis GPan XLeimkühler T(2024)Learning Images Across Scales Using Adversarial TrainingACM Transactions on Graphics10.1145/365819043:4(1-13)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658190
Zhang HYang LLi CWu BWang W(2021)ScaffoldGAN: Synthesis of Scaffold Materials based on Generative Adversarial NetworksComputer-Aided Design10.1016/j.cad.2021.103041138(103041)Online publication date: Sep-2021
https://doi.org/10.1016/j.cad.2021.103041
Frühstück AAlhashim IWonka P(2019)TileGANACM Transactions on Graphics10.1145/3306346.332299338:4(1-11)Online publication date: 12-Jul-2019
https://dl.acm.org/doi/10.1145/3306346.3322993
Sanzharov VFrolov V(2019)Level of Detail for Precomputed Procedural TexturesProgramming and Computer Software10.1134/S036176881904007845:4(187-195)Online publication date: 6-Aug-2019
https://doi.org/10.1134/S0361768819040078
Klein TMindek PAutin LGoodsell DOlson AGröller EViola I(2019)Parallel Generation and Visualization of Bacterial Genome StructuresComputer Graphics Forum10.1111/cgf.1381638:7(57-68)Online publication date: 14-Nov-2019
https://doi.org/10.1111/cgf.13816
Sýkora DJamriška OTexler OFišer JLukáč MLu JShechtman E(2019)StyleBlit: Fast Example‐Based Stylization with Local GuidanceComputer Graphics Forum10.1111/cgf.1362138:2(83-91)Online publication date: 7-Jun-2019
https://doi.org/10.1111/cgf.13621
Galerne BLeclaire ARabin J(2018)A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch SpaceSIAM Journal on Imaging Sciences10.1137/18M117578111:4(2456-2493)Online publication date: 25-Oct-2018
https://doi.org/10.1137/18M1175781
Qin ZLi MWu B(2018)Robust Steganography via Patch-Based Texture SynthesisInternet Multimedia Computing and Service10.1007/978-981-10-8530-7_42(429-439)Online publication date: 1-Mar-2018
https://doi.org/10.1007/978-981-10-8530-7_42
Snelgrove XGutierrez DHuang H(2017)High-resolution multi-scale neural texture synthesisSIGGRAPH Asia 2017 Technical Briefs10.1145/3145749.3149449(1-4)Online publication date: 27-Nov-2017
https://dl.acm.org/doi/10.1145/3145749.3149449
Bangay S(2017)Deterministic procedural generation of mesh detail through gradient tilingProceedings of the Australasian Computer Science Week Multiconference10.1145/3014812.3014828(1-10)Online publication date: 30-Jan-2017
https://dl.acm.org/doi/10.1145/3014812.3014828
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