(57) ABSTRACT A method for enhancing visual data when communicating visual data over
a network from a first node to a second node. The method at the first node comprises …

(57) ABSTRACT A method for develo** an enhancement model for low quality visual data,
the method comprising the steps of receiving one or more sections of higher-quality visual …

Supervised machine learning using convolutional neural network (CNN) is applied to
denoising images rendered by MC path tracing. The input image data may include pixel …

Disclosed is method for training a plurality of visual processing algorithms for processing
visual data. The method includes using a pre-processing hierarchical algorithm to process …

(57) ABSTRACT A modular architecture is provided for denoising Monte Carlo renderings
using neural networks. The temporal approach extracts and combines feature …

(57) ABSTRACT A method for training an algorithm to process at least a section of received
visual data using a training dataset and reference dataset. The method comprises an …

Machine learning is used for calculating the internal parameters of the neural network. For
instance, in a neural network aimed at removing noise of an image, the internal parameters …

(57) ABSTRACT A neural network-based rendering technique increases tem poral stability
and image fidelity of low sample count path tracing by optimizing a distribution of samples …

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[C@@ H](C (C)= C (C2 (C) C)[C@ H](C ([C@] 2 (C)[C@@ H](O) C [C@ H] 3OC [C@] 3 ([C …

(57) ABSTRACT A method for enhancing at least a section of lower-quality visual data using
a hierarchical algorithm, the method including receiving at least a plurality of neighbouring …