Generating user-customized items using a visually-aware image generation network
The present disclosure relates to a personalized fashion generation system that synthesizes
user-customized images using deep learning techniques based on visually-aware user …
user-customized images using deep learning techniques based on visually-aware user …
Neural network system with temporal feedback for adaptive sampling and denoising of rendered sequences
CJ Munkberg, JNT Hasselgren, A Patney… - US Patent …, 2022 - Google Patents
A neural network-based rendering technique increases temporal stability and image fidelity
of low sample count path tracing by optimizing a distribution of samples for rendering each …
of low sample count path tracing by optimizing a distribution of samples for rendering each …
Neural network system with temporal feedback for denoising of rendered sequences
CJ Munkberg, JNT Hasselgren, A Patney… - US Patent …, 2023 - Google Patents
2019-12-18 Assigned to NVIDIA CORPORATION reassignment NVIDIA CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
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 …
Temporal techniques of denoising Monte Carlo renderings using neural networks
A modular architecture is provided for denoising Monte Carlo renderings using neural
networks. The temporal approach extracts and combines feature representations from …
networks. The temporal approach extracts and combines feature representations from …
Systems and methods for enriching modeling tools and infrastructure with semantics
DC Merrill, AA Donigian, E Dvir, SJ Kamkar… - US Patent …, 2023 - Google Patents
BACKGROUND Machine learning models undergo a life cycle comprising steps such as:
data preparation, model development, model testing, business analysis and risk …
data preparation, model development, model testing, business analysis and risk …
Systems and methods for model fairness
SJ Kamkar, ME Van Veen, F Li, MF Eberstein… - US Patent …, 2021 - Google Patents
7,711,635 B2 5/2010 Steele et al. 7,765,151 B1 7/2010 Williams et al. 7,813,945 B2 10/2010
Bonissone et al. 7,873,535 B2 1/2011 Umblijs et al. 7,873,570 B2 1/2011 Cagan et al …
Bonissone et al. 7,873,535 B2 1/2011 Umblijs et al. 7,873,570 B2 1/2011 Cagan et al …
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 …
Deep feature generative adversarial neural networks
S Demyanov, A Podkin, A Stoliar, V Velicodnii… - US Patent …, 2021 - Google Patents
A mobile device can implement a neural network-based domain transfer scheme to modify
an image in a first domain appearance to a second domain appearance. The domain …
an image in a first domain appearance to a second domain appearance. The domain …
System and Method for Removing Noise and/or Artifacts from an OCT Image Using a Generative Adversarial Network
Abstract Systems, methods, and computer program products are provided for removing
noise and/or artifacts from an image. The method includes training a generative adversarial …
noise and/or artifacts from an image. The method includes training a generative adversarial …