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Deep shadow maps

Authors:

Tom Lokovic,

Eric VeachAuthors Info & Claims

SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques

Pages 385 - 392

https://doi.org/10.1145/344779.344958

Published: 01 July 2000 Publication History

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Abstract

We introduce deep shadow maps, a technique that produces fast, high-quality shadows for primitives such as hair, fur, and smoke. Unlike traditional shadow maps, which store a single depth at each pixel, deep shadow maps store a representation of the fractional visibility through a pixel at all possible depths. Deep shadow maps have several advantages. First, they are prefiltered, which allows faster shadow lookups and much smaller memory footprints than regular shadow maps of similar quality. Second, they support shadows from partially transparent surfaces and volumetric objects such as fog. Third, they handle important cases of motion blur at no extra cost. The algorithm is simple to implement and can be added easily to existing renderers as an alternative to ordinary shadow maps.

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Cited By

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Šmajdek ULesar ŽMarolt MBohak C(2024)Combined volume and surface rendering with global illumination cachingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-02932-940:4(2491-2503)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00371-023-02932-9
Sloan PKautz JSnyder J(2023)Precomputed Radiance Transfer for Real-Time Rendering in Dynamic, Low-Frequency Lighting EnvironmentsSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596749(339-348)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596749
Mathai MLarsen MChilds H(2023)A Distributed-Memory Parallel Approach for Volume Rendering with Shadows2023 IEEE 13th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV60332.2023.00010(22-31)Online publication date: 23-Oct-2023
https://doi.org/10.1109/LDAV60332.2023.00010
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Index Terms

Deep shadow maps
1. Computing methodologies
  1. Computer graphics

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Information

Published In

SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques

July 2000

547 pages

ISBN:1581132085

Chairmen:
Judith R. Brown
Coralville, IA
,
Kurt Akeley

Seminal Graphics Papers: Pushing the Boundaries, Volume 2
August 2023
893 pages
ISBN:9798400708978
DOI:10.1145/3596711
Editor:
Mary C. Whitton
Department of Computer Science, UNC Chapel Hill, USA

Publisher

ACM Press/Addison-Wesley Publishing Co.

United States

Publication History

Published: 01 July 2000

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SIGGRAPH '00 Paper Acceptance Rate 59 of 304 submissions, 19%;

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

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Cited By

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Šmajdek ULesar ŽMarolt MBohak C(2024)Combined volume and surface rendering with global illumination cachingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-02932-940:4(2491-2503)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00371-023-02932-9
Sloan PKautz JSnyder J(2023)Precomputed Radiance Transfer for Real-Time Rendering in Dynamic, Low-Frequency Lighting EnvironmentsSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596749(339-348)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596749
Mathai MLarsen MChilds H(2023)A Distributed-Memory Parallel Approach for Volume Rendering with Shadows2023 IEEE 13th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV60332.2023.00010(22-31)Online publication date: 23-Oct-2023
https://doi.org/10.1109/LDAV60332.2023.00010
Iwase SSaito SSimon TLombardi SBagautdinov TJoshi RPrada FShiratori TSheikh YSaragih J(2023)RelightableHands: Efficient Neural Relighting of Articulated Hand Models2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.01599(16663-16673)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.01599
Li JSaito SSimon TLombardi SLi HSaragih J(2023)MEGANE: Morphable Eyeglass and Avatar Network2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.01228(12769-12779)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.01228
Lee BShin B(2023)Template-based scattering illumination for volumetric datasetMultimedia Tools and Applications10.1007/s11042-023-17859-583:20(58555-58571)Online publication date: 22-Dec-2023
https://doi.org/10.1007/s11042-023-17859-5
Currius RAssarsson USintorn E(2022)Real-Time Hair Filtering with Convolutional Neural NetworksProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/35226065:1(1-15)Online publication date: 4-May-2022
https://dl.acm.org/doi/10.1145/3522606
Jang YKim S(2021)Approximate Image-Space Multidirectional Occlusion Shading Model for Direct Volume RenderingApplied Sciences10.3390/app1112571711:12(5717)Online publication date: 20-Jun-2021
https://doi.org/10.3390/app11125717
Ohkawara MFujishiro I(2021)Illumination-aware Digital Image Compositing for Full-length Human Figures2021 International Conference on Cyberworlds (CW)10.1109/CW52790.2021.00011(17-24)Online publication date: Sep-2021
https://doi.org/10.1109/CW52790.2021.00011
Vasilakis AVardis KPapaioannou G(2020)A Survey of Multifragment RenderingComputer Graphics Forum10.1111/cgf.1401939:2(623-642)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.14019
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