Abstract
We present Neural Network Ambient Occlusion (NNAO), a fast, accurate screen space ambient occlusion algorithm that uses a neural network to learn an optimal approximation of the ambient occlusion effect. Our network is carefully designed such that it can be computed in a single pass allowing it to be used as a drop-in replacement for existing screen space ambient occlusion techniques.
Original language | English |
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Title of host publication | SA '16 SIGGRAPH ASIA 2016 Technical Briefs |
Publisher | ACM |
Number of pages | 4 |
ISBN (Electronic) | 978-1-4503-4541-5 |
DOIs | |
Publication status | Published - 28 Nov 2016 |
Event | SIGGRAPH ASIA 2016 Technical Briefs - , Macao Duration: 5 Dec 2016 → 8 Dec 2016 https://sa2016.siggraph.org/ |
Conference
Conference | SIGGRAPH ASIA 2016 Technical Briefs |
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Abbreviated title | SA'16 |
Country/Territory | Macao |
Period | 5/12/16 → 8/12/16 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Neural Networks
- Machine learning
- screen space ambient occlusion
- SSAO
- HABA