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Improving noise

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Ken PerlinAuthors Info & Claims

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

Pages 681 - 682

https://doi.org/10.1145/566570.566636

Published: 01 July 2002 Publication History

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Abstract

Two deficiencies in the original Noise algorithm are corrected: second order interpolation discontinuity and unoptimal gradient computation. With these defects corrected, Noise both looks better and runs faster. The latter change also makes it easier to define a uniform mathematical reference standard.

References

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FOLEY, J. ET AL. 1996. Computer Graphics: Principles and Practice. Addison-Wesley, Reading.

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PERLIN, K., ACM SIGGRAPH 84 conference, course in "Advanced Image Synthesis."

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PERLIN, K. 1985. An Image Synthesizer. In Computer Graphics (Proceedings of ACM SIGGRAPH 85), 24. 3.

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PERLIN, K. AND HOFFERT, E. 1989. Hypertexture. In Computer Graphics (Proceedings of ACM SIGGRAPH 89), 23, 3.

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Skondras-Giousios DKarmiris-Obratański PJarosz MMarkopoulos A(2024)Investigation of the Influence of Machining Parameters and Surface Roughness on the Wettability of the Al6082 Surfaces Produced with WEDMMaterials10.3390/ma1707168917:7(1689)Online publication date: 7-Apr-2024
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Kuth BOberberger MFaber CBaumeister DChajdas MMeyer Q(2024)Real-Time Procedural Generation with GPU Work GraphsProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753767:3(1-16)Online publication date: 9-Aug-2024
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Index Terms

Improving noise
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing

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Published In

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

July 2002

574 pages

ISBN:1581135211

DOI:10.1145/566570

Conference Chair:
Tom Appolloni
Harris Corporation

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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Association for Computing Machinery

New York, NY, United States

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Published: 01 July 2002

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procedural texture

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SIGGRAPH

SIGGRAPH02: The 29th International Conference on Computer Graphics and Interactive Techniques

July 23 - 26, 2002

Texas, San Antonio

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SIGGRAPH '02 Paper Acceptance Rate 67 of 358 submissions, 19%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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https://doi.org/10.3390/ma17071689
LIU QWANG BTAN SZOU SGE W(2024)Remote Sensing Image Dehazing Using Multi-Scale Gated Attention for Flight SimulatorIEICE Transactions on Information and Systems10.1587/transinf.2023EDP7191E107.D:9(1206-1218)Online publication date: 1-Sep-2024
https://doi.org/10.1587/transinf.2023EDP7191
Kuth BOberberger MFaber CBaumeister DChajdas MMeyer Q(2024)Real-Time Procedural Generation with GPU Work GraphsProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753767:3(1-16)Online publication date: 9-Aug-2024
https://dl.acm.org/doi/10.1145/3675376
Maesumi AHu DSaripalli KKim VFisher MPirk SRitchie D(2024)One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise PatternsACM Transactions on Graphics10.1145/365819543:4(1-21)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658195
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Porres DXiao YVillalonga GLevy ALópez A(2024)Guiding Attention in End-to-End Driving Models2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588598(2353-2360)Online publication date: 2-Jun-2024
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Basla RGiulivi LMagri LBoracchi G(2024)An Expert-Driven Data Generation Pipeline for Histological Images2024 IEEE International Symposium on Biomedical Imaging (ISBI)10.1109/ISBI56570.2024.10635495(1-5)Online publication date: 27-May-2024
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Procedural noise using sparse Gabor convolution

Procedural noise using sparse Gabor convolution

Non-periodic Tiling of Procedural Noise Functions

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Procedural noise using sparse Gabor convolution

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Non-periodic Tiling of Procedural Noise Functions

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