Denoising Monte Carlo renderings using machine learning with importance sampling
Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
Denoising Monte Carlo renderings using progressive neural networks
Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
Building units for machine learning models for denoising images and systems and methods for using same
In some examples, a machine learning model may be trained to denoise an image. In some
examples, the machine learning model may identify noise in an image of a sequence based …
examples, the machine learning model may identify noise in an image of a sequence based …
Modular machine learning models for denoising images and systems and methods for using same
In some examples, a machine learning model may be trained to denoise an image. In some
examples, the machine learning model may identify noise in an image of a sequence based …
examples, the machine learning model may identify noise in an image of a sequence based …
Method for explainable active learning, to be used for object detector, by using Bayesian dual autoencoder and active learning device using the same
US10970645B1 - Method for explainable active learning, to be used for object detector, by
using Bayesian dual autoencoder and active learning device using the same - Google …
using Bayesian dual autoencoder and active learning device using the same - Google …
Method and apparatus for convolutional neural network-based video denoising
MT Ferrés, TN Emmanuel, J Delon - US Patent 11,900,566, 2024 - Google Patents
An image capture device includes an image sensor and a processor. The image sensor is
configured to capture a first plurality of frames, a second plurality of frames, and a third …
configured to capture a first plurality of frames, a second plurality of frames, and a third …
Computer system, a computer device and a computer implemented method
A computer system has a first machine learning module configured to predict a probability of
a respective option being selected by a particular user if presented to that user via a …
a respective option being selected by a particular user if presented to that user via a …
Temporal techniques of denoising monte carlo renderings using neural networks
2023-02-08 Assigned to THE WALT DISNEY COMPANY (SWITZERLAND) GMBH
reassignment THE WALT DISNEY COMPANY (SWITZERLAND) GMBH ASSIGNMENT OF …
reassignment THE WALT DISNEY COMPANY (SWITZERLAND) GMBH ASSIGNMENT OF …
Multi-frame optical flow network with lossless pyramid micro-architecture
A method includes obtaining a first optical flow vector representing motion between
consecutive video frames during a previous time step. The method also includes generating …
consecutive video frames during a previous time step. The method also includes generating …
Neural network-based video compression with bit allocation
A method of video processing includes determining a target bitrate for a current video unit of
a video that is based on a rate distortion function in which a rate portion is weighted using …
a video that is based on a rate distortion function in which a rate portion is weighted using …