CPC G06T 5/70 (2024.01) [G06F 17/18 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G06T 5/50 (2013.01); G06T 15/06 (2013.01); G06T 15/506 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 20 Claims |
1. A method of denoising images rendered by path tracing, the method comprising:
receiving a sequence of frames rendered by path tracing, the sequence of frames including a first frame and one or more temporal neighboring frames;
receiving a reference image corresponding to the first frame;
extracting, using one or more first neural networks, sets of first features from the sequence of frames;
storing a second neural network including a plurality of layers and a plurality of nodes, the second neural network configured to:
extract a set of temporal features from the sets of first features; and
training the second neural network to obtain a plurality of optimized parameters associated with the plurality of nodes of the second neural network using the sequence of frames and the reference image corresponding to the first frame.
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