Multi-sample Anti-aliasing
Multi-Sample Anti-Aliasing is a raster-level anti-aliasing technique that reduces spatial aliasing artifacts by sampling multiple locations within each pixel and computing visibility at a higher resolution while preserving color evaluation at the pixel level.
3
Publications
71
Citations
19
Authors
7
Institutions
Publications per year
2017–2026
0
Variants
Msaa
Parents
3
Filtering approaches for real-time anti-aliasing
Jorge Jiménez, Diego Gutiérrez, Jason Yang et al. · 2011 · 48 citations
Decoupled coverage anti-aliasing
Yu-Xiang Wang, Chris Wyman, Yong He et al. · 2015 · 10 citations
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1–5 of 19
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Advanced Micro Devices (Canada)
Markham, Canada
2 h-index
4 publications
87 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
10 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
20 citations
Nvidia (United Kingdom)
Reading, United Kingdom
1 h-index
1 publications
10 citations
Williams College
Williamstown, United States
1 h-index
1 publications
48 citations
Intel (United States)
Santa Clara, United States
1 h-index
1 publications
48 citations
Universidad de Zaragoza
Zaragoza, Spain
1 h-index
2 publications
96 citations
1–7 of 7
Repository · 1 publications · 11 citations
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