Neural network ambient occlusion

Daniel Holden, Jun Saito, Taku Komura

2016 · 16 citations · 11 references

DOIFull text

Open access

Concepts

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.

References

11