loadpatents
name:-0.0084829330444336
name:-0.010993003845215
name:-0.014586925506592
Vogels; Thijs Patent Filings

Vogels; Thijs

Patent Applications and Registrations

Patent applications and USPTO patent grants for Vogels; Thijs.The latest application filed is for "adaptive sampling in monte carlo renderings using error-predicting neural networks".

Company Profile
16.10.11
  • Vogels; Thijs - Lausanne CH
  • Vogels; Thijs - Zurich CH
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Denoising Monte Carlo renderings using progressive neural networks
Grant 11,037,274 - Vogels , et al. June 15, 2
2021-06-15
Kernel-predicting convolutional neural networks for denoising
Grant 10,796,414 - Vogels , et al. October 6, 2
2020-10-06
Denoising Monte Carlo renderings using machine learning with importance sampling
Grant 10,789,686 - Vogels , et al. September 29, 2
2020-09-29
Adaptive sampling in Monte Carlo renderings using error-predicting neural networks
Grant 10,706,508 - Vogels , et al.
2020-07-07
Denoising Monte Carlo renderings using neural networks with asymmetric loss
Grant 10,699,382 - Vogels , et al.
2020-06-30
Adaptive Sampling In Monte Carlo Renderings Using Error-predicting Neural Networks
App 20200184313 - Vogels; Thijs ;   et al.
2020-06-11
Denoising Monte Carlo Renderings Using Progressive Neural Networks
App 20200184605 - Vogels; Thijs ;   et al.
2020-06-11
Multi-scale architecture of denoising monte carlo renderings using neural networks
Grant 10,672,109 - Vogels , et al.
2020-06-02
Denoising Monte Carlo Renderings Using Machine Learning With Importance Sampling
App 20200143522 - Vogels; Thijs ;   et al.
2020-05-07
Denoising monte carlo renderings using progressive neural networks
Grant 10,607,319 - Vogels , et al.
2020-03-31
Denoising Monte Carlo renderings using generative adversarial neural networks
Grant 10,586,310 - Vogels , et al.
2020-03-10
Denoising Monte Carlo renderings using machine learning with importance sampling
Grant 10,572,979 - Vogels , et al. Feb
2020-02-25
Kernel-predicting Convolutional Neural Networks For Denoising
App 20200027198 - Vogels; Thijs ;   et al.
2020-01-23
Kernel-predicting convolutional neural networks for denoising
Grant 10,475,165 - Vogels , et al. Nov
2019-11-12
Multi-scale Architecture Of Denoising Monte Carlo Renderings Using Neural Networks
App 20190304068 - Vogels; Thijs ;   et al.
2019-10-03
Denoising Monte Carlo Renderings Using Neural Networks With Asymmetric Loss
App 20190304069 - Vogels; Thijs ;   et al.
2019-10-03
Temporal Techniques Of Denoising Monte Carlo Renderings Using Neural Networks
App 20190304067 - Vogels; Thijs ;   et al.
2019-10-03
Denoising Monte Carlo Renderings Using Progressive Neural Networks
App 20180293496 - Vogels; Thijs ;   et al.
2018-10-11
Denoising Monte Carlo Renderings Using Machine Learning With Importance Sampling
App 20180293713 - Vogels; Thijs ;   et al.
2018-10-11
Denoising Monte Carlo Renderings Using Generative Adversarial Neural Networks
App 20180293712 - Vogels; Thijs ;   et al.
2018-10-11
Kernel-predicting Convolutional Neural Networks For Denoising
App 20180293711 - Vogels; Thijs ;   et al.
2018-10-11

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed