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Filtering approaches for real-time anti-aliasing

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Tiago SousaAuthors Info & Claims

SIGGRAPH '11: ACM SIGGRAPH 2011 Courses

Article No.: 6, Pages 1 - 329

https://doi.org/10.1145/2037636.2037642

Published: 07 August 2011 Publication History

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Abstract

For more than a decade, supersample anti-aliasing (SSAA) and multisample anti-aliasing (MSAA) have been the gold-standard anti-aliasing solutions in games. However, these techniques are not well suited for deferred shading or fixed environments like the current generation of consoles. In recent years, industry and academia have been exploring alternative approaches, where anti-aliasing is performed as a post-processing step. The original, CPU-based morphological anti-aliasing (MLAA) method gave birth to an explosion of real-time anti-aliasing techniques that rival MSAA.

Most of these techniques share concepts and ideas, so the main goal of this course is to establish a conceptual link between them, identifying novelties and differences. The presenters explain how sub-pixel data can be used to improve quality and performance tradeoffs at post-processing steps, which is a cutting-edge research area today. The course includes an overview of both research and industry filter-based anti-aliasing techniques in games for all modern platforms (AMD and NVIDIA GPUs, PlayStation 3, and Xbox 360), low-level insight to ease adoption of these techniques and give attendees a complete concept-to-implementation roadmap, and deep quality, performance, and ease-of-integration comparisons of each technique.

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Cited By

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Zhang SLin DKettunen MYuksel CWyman C(2024)Area ReSTIR: Resampling for Real-Time Defocus and AntialiasingACM Transactions on Graphics10.1145/365821043:4(1-13)Online publication date: 19-Jul-2024
https://doi.org/10.1145/3658210
Yan ZLow WChen YLee G(2024)Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01977(20923-20931)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.01977
Monteiro Júnior LSouza LFernandes S(2024)Anti-aliasing method based on rotated spatial filteringMultimedia Tools and Applications10.1007/s11042-024-18632-y83:32(77759-77784)Online publication date: 29-Feb-2024
https://doi.org/10.1007/s11042-024-18632-y
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Filtering approaches for real-time anti-aliasing

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Published In

SIGGRAPH '11: ACM SIGGRAPH 2011 Courses

August 2011

1251 pages

ISBN:9781450309677

DOI:10.1145/2037636

Conference Chair:
Ann McNamara
Texas A&M University

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

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Published: 07 August 2011

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August 7 - 11, 2011

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Zhang SLin DKettunen MYuksel CWyman C(2024)Area ReSTIR: Resampling for Real-Time Defocus and AntialiasingACM Transactions on Graphics10.1145/365821043:4(1-13)Online publication date: 19-Jul-2024
https://doi.org/10.1145/3658210
Yan ZLow WChen YLee G(2024)Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01977(20923-20931)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.01977
Monteiro Júnior LSouza LFernandes S(2024)Anti-aliasing method based on rotated spatial filteringMultimedia Tools and Applications10.1007/s11042-024-18632-y83:32(77759-77784)Online publication date: 29-Feb-2024
https://doi.org/10.1007/s11042-024-18632-y
Tine BSaxena VSrivatsan SSimpson JAlzammar FCooper LKim HAamodt TJerger NSwift M(2023)Skybox: Open-Source Graphic Rendering on Programmable RISC-V GPUsProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 310.1145/3582016.3582024(616-630)Online publication date: 25-Mar-2023
https://dl.acm.org/doi/10.1145/3582016.3582024
Naylor WDebattista KChalmers A(2023)Perception-based high quality distributed virtual realityVirtual Reality10.1007/s10055-023-00825-927:3(2529-2539)Online publication date: 5-Jul-2023
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Zhang YWang RHuo YHua WBao H(2022)PowerNet: Learning-Based Real-Time Power-Budget RenderingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.306436728:10(3486-3498)Online publication date: 1-Oct-2022
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Qian SShao HZhu YLi MJia JRanzato MBeygelzimer ADauphin YLiang PVaughan J(2021)Blending anti-aliasing into vision transformerProceedings of the 35th International Conference on Neural Information Processing Systems10.5555/3540261.3540675(5416-5429)Online publication date: 6-Dec-2021
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Kapse K(2021)An Overview of Current Deep Learned Rendering Technologies2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS51430.2021.9441822(1404-1409)Online publication date: 19-Mar-2021
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Laine SHellsten JKarras TSeol YLehtinen JAila T(2020)Modular primitives for high-performance differentiable renderingACM Transactions on Graphics10.1145/3414685.341786139:6(1-14)Online publication date: 27-Nov-2020
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Yang LLiu SSalvi M(2020)A Survey of Temporal Antialiasing TechniquesComputer Graphics Forum10.1111/cgf.1401839:2(607-621)Online publication date: 13-Jul-2020
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Surface based anti-aliasing

A directionally adaptive edge anti-aliasing filter

Real-Time Geometric Glint Anti-Aliasing with Normal Map Filtering

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Surface based anti-aliasing

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Real-Time Geometric Glint Anti-Aliasing with Normal Map Filtering

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