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Parallel controllable texture synthesis

Published: 01 July 2005 Publication History

Abstract

We present a texture synthesis scheme based on neighborhood matching, with contributions in two areas: parallelism and control. Our scheme defines an infinite, deterministic, aperiodic texture, from which windows can be computed in real-time on a GPU. We attain high-quality synthesis using a new analysis structure called the Gaussian stack, together with a coordinate upsampling step and a subpass correction approach. Texture variation is achieved by multiresolution jittering of exemplar coordinates. Combined with the local support of parallel synthesis, the jitter enables intuitive user controls including multiscale randomness, spatial modulation over both exemplar and output, feature drag-and-drop, and periodicity constraints. We also introduce synthesis magnification, a fast method for amplifying coarse synthesis results to higher resolution.

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Published In

cover image ACM Conferences
SIGGRAPH '05: ACM SIGGRAPH 2005 Papers
July 2005
826 pages
ISBN:9781450378253
DOI:10.1145/1186822
  • Editor:
  • Markus Gross
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 ACM 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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Publication History

Published: 01 July 2005

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Author Tags

  1. Gaussian stack
  2. coordinate jitter
  3. data amplification
  4. neighborhood matching
  5. runtime content synthesis
  6. synthesis magnification

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SIGGRAPH '05 Paper Acceptance Rate 98 of 461 submissions, 21%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

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  • (2023)Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.01629(17726-17737)Online publication date: 1-Oct-2023
  • (2021)Cyclostationary Gaussian noise: theory and synthesisComputer Graphics Forum10.1111/cgf.14262940:2(239-250)Online publication date: 4-Jun-2021
  • (2021)Example-based terrain synthesis with pit removalComputers and Graphics10.1016/j.cag.2021.06.01299:C(43-53)Online publication date: 1-Oct-2021
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  • (2019)Painting with CATSProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300287(1-9)Online publication date: 2-May-2019
  • (2019)On Demand Solid Texture Synthesis Using Deep 3D NetworksComputer Graphics Forum10.1111/cgf.1388939:1(511-530)Online publication date: 19-Nov-2019
  • (2017)Image completion with dynamic patchesProceedings of the Computer Graphics International Conference10.1145/3095140.3095143(1-4)Online publication date: 27-Jun-2017
  • (2017)Optimal Patch Assignment for Statistically Constrained Texture SynthesisScale Space and Variational Methods in Computer Vision10.1007/978-3-319-58771-4_14(172-183)Online publication date: 18-May-2017
  • (2016)Boundary Expansion Texture Synthesis for Reconstructing Object Contours物体輪郭を再現する境界拡張テクスチャ合成法The Journal of the Society for Art and Science10.3756/artsci.15.8615:2(86-97)Online publication date: 15-Jun-2016
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