Ambient Occlusion Performance Optimization
Ambient Occlusion Performance Optimization is an academic method that improves the computational efficiency and rendering quality of ambient occlusion algorithms in real-time graphics by selectively approximating occlusion calculations while preserving visual fidelity.
4
Publications
56
Citations
12
Authors
9
Institutions
Publications per year
2017–2026
1
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4
Neural network ambient occlusion
Daniel Holden, Jun Saito, Taku Komura · 2016 · 16 citations · Full text
DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network
Dongjiu Zhang, Chuhua Xian, Guoliang Luo et al. · IEEE Access · 2020 · 15 citations · Full text
Ladislav Kavan, Adam W. Bargteil, Peter‐Pike Sloan · Computer Graphics Forum · 2011 · 13 citations
Ville Timonen · Computer Graphics Forum · 2013 · 12 citations
1–4 of 4
12
Czech Academy of Sciences, J. Heyrovský Institute of Physical Chemistry, Czechia
1 publications · 13 citations
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1–5 of 12
9
Guangdong Provincial People's Hospital
Guangzhou, China
1 h-index
1 publications
15 citations
Turku Centre for Computer Science
Turku, Finland
1 h-index
1 publications
12 citations

South China University of Technology
Guangzhou, China
1 h-index
3 publications
45 citations
University of Utah
Salt Lake City, United States
1 h-index
1 publications
13 citations
Walt Disney (United States)
Burbank, United States
1 h-index
2 publications
26 citations
East China Jiaotong University
Nanchang, China
1 h-index
1 publications
15 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
2 publications
32 citations
Guangdong Academy of Medical Sciences
Guangzhou, China
1 h-index
1 publications
15 citations
1–8 of 9
2 publications · 25 citations
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1 publications · 15 citations
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