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- Publisher Website: 10.1145/3005358.3005387
- Scopus: eid_2-s2.0-85008256428
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Conference Paper: Neural network ambient occlusion
| Title | Neural network ambient occlusion |
|---|---|
| Authors | |
| Keywords | Machine learning Neural networks HBAO SSAO Screen space ambient occlusion |
| Issue Date | 2016 |
| Citation | SA 2016 - SIGGRAPH ASIA 2016 Technical Briefs, 2016, article no. 9 How to Cite? |
| 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. |
| Persistent Identifier | http://hdl.handle.net/10722/288732 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Holden, Daniel | - |
| dc.contributor.author | Saito, Jun | - |
| dc.contributor.author | Komura, Taku | - |
| dc.date.accessioned | 2020-10-12T08:05:43Z | - |
| dc.date.available | 2020-10-12T08:05:43Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | SA 2016 - SIGGRAPH ASIA 2016 Technical Briefs, 2016, article no. 9 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/288732 | - |
| dc.description.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. | - |
| dc.language | eng | - |
| dc.relation.ispartof | SA 2016 - SIGGRAPH ASIA 2016 Technical Briefs | - |
| dc.subject | Machine learning | - |
| dc.subject | Neural networks | - |
| dc.subject | HBAO | - |
| dc.subject | SSAO | - |
| dc.subject | Screen space ambient occlusion | - |
| dc.title | Neural network ambient occlusion | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1145/3005358.3005387 | - |
| dc.identifier.scopus | eid_2-s2.0-85008256428 | - |
| dc.identifier.spage | article no. 9 | - |
| dc.identifier.epage | article no. 9 | - |