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Rendering from compressed textures

Authors:

Andrew C. Beers,

Maneesh Agrawala,

Navin ChaddhaAuthors Info & Claims

SIGGRAPH '96: Proceedings of the 23rd annual conference on Computer graphics and interactive techniques

Pages 373 - 378

https://doi.org/10.1145/237170.237276

Published: 01 August 1996 Publication History

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Waldemarson GDoggett M(2024)Succinct Opacity MicromapsProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753857:3(1-18)Online publication date: 9-Aug-2024
https://dl.acm.org/doi/10.1145/3675385
Takikawa TMüller TNimier-David MEvans AFidler SJacobson AKeller A(2023)Compact Neural Graphics Primitives with Learned Hash ProbingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618167(1-10)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618167
Zhang CHe BGuo RMa D(2023)When a tree model meets texture baking: an approach for quality-preserving lightweight visualization in virtual 3D scene constructionInternational Journal of Digital Earth10.1080/17538947.2023.217775816:1(645-670)Online publication date: Mar-2023
https://doi.org/10.1080/17538947.2023.2177758
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Index Terms

Rendering from compressed textures
1. Computing methodologies
  1. Computer graphics

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This paper presents a new data structure, called stick textures, to give a continuous and compact 3D representation of the scene displayed in depth images. A stick texture is constructed for each pixel of a depth image, composed of the interpolated ...
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I3D '07: Proceedings of the 2007 symposium on Interactive 3D graphics and games

High dynamic range (HDR) images are increasingly employed in games and interactive applications for accurate rendering and illumination. One disadvantage of HDR images is their large data size; unfortunately, even though solutions have been proposed for ...

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SIGGRAPH '96: Proceedings of the 23rd annual conference on Computer graphics and interactive techniques

August 1996

528 pages

ISBN:0897917464

DOI:10.1145/237170

Chairman:
John Fujii
Hewlett-Packard

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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Published: 01 August 1996

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SIGGRAPH '96 Paper Acceptance Rate 52 of 247 submissions, 21%;

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

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Waldemarson GDoggett M(2024)Succinct Opacity MicromapsProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753857:3(1-18)Online publication date: 9-Aug-2024
Takikawa TMüller TNimier-David MEvans AFidler SJacobson AKeller A(2023)Compact Neural Graphics Primitives with Learned Hash ProbingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618167(1-10)Online publication date: 10-Dec-2023
Zhang CHe BGuo RMa D(2023)When a tree model meets texture baking: an approach for quality-preserving lightweight visualization in virtual 3D scene constructionInternational Journal of Digital Earth10.1080/17538947.2023.217775816:1(645-670)Online publication date: Mar-2023
Žádník JMäkitalo MVanne JJääskeläinen P(2022)Image and Video Coding Techniques for Ultra-low LatencyACM Computing Surveys10.1145/351234254:11s(1-35)Online publication date: 9-Sep-2022
Sardashti SArelakis AStenström PWood D(2022)A Primer on Compression in the Memory HierarchyundefinedOnline publication date: 25-Mar-2022
Liu JMantel CForchhammer S(2021)Perception-Driven Hybrid Foveated Depth of Field Rendering for Head-Mounted Displays2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR52148.2021.00014(1-10)Online publication date: Oct-2021
Pratapa SManocha D(2020)RANDM: Random Access Depth Map Compression Using Range-Partitioning and Global DictionarySymposium on Interactive 3D Graphics and Games10.1145/3384382.3384524(1-11)Online publication date: 5-May-2020
Lu JCheng WZhang SLi L(2019)A novel data hiding algorithm for game texture based on Hamming+1Proceedings of the ACM Turing Celebration Conference - China10.1145/3321408.3326648(1-8)Online publication date: 17-May-2019
Yuksel CLefebvre STarini M(2019)Rethinking Texture MappingComputer Graphics Forum10.1111/cgf.1365638:2(535-551)Online publication date: 7-Jun-2019
Nasiri FBidgoli NPayan FMaugey T(2019)A Geometry-aware Framework for Compressing 3D Mesh TexturesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP.2019.8683258(4015-4019)Online publication date: May-2019
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Lossless compression of already compressed textures

Stick textures for image-based rendering

Rendering from compressed high dynamic range textures on programmable graphics hardware

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Lossless compression of already compressed textures

Stick textures for image-based rendering

Rendering from compressed high dynamic range textures on programmable graphics hardware

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