Company Filing History:

12 out of 2,767

Disney Enterprises, Inc.

Eth Zurich (eidgenossische Technische Hochschule Zurich)

patents

4. 1 out of 1

Disnev Enterprises, Inc.

patent

where one patent can have more than one assignee

Years Active: 2019-2025

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13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12373909 - Adaptive sampling using deep learning (2025-07-29),

2. 12169914 - Temporal techniques of denoising Monte Carlo renderings using neural networks (2024-12-17),

3. 11532073 - Temporal techniques of denoising Monte Carlo renderings using neural networks (2022-12-20),

4. 11037274 - Denoising Monte Carlo renderings using progressive neural networks (2021-06-15),

5. 10796414 - Kernel-predicting convolutional neural networks for denoising (2020-10-06),

6. 10789686 - Denoising Monte Carlo renderings using machine learning with importance sampling (2020-09-29),

7. 10706508 - Adaptive sampling in Monte Carlo renderings using error-predicting neural networks (2020-07-07),

8. 10699382 - Denoising Monte Carlo renderings using neural networks with asymmetric loss (2020-06-30),

9. 10672109 - Multi-scale architecture of denoising monte carlo renderings using neural networks (2020-06-02),

10. 10607319 - Denoising monte carlo renderings using progressive neural networks (2020-03-31),

11. 10586310 - Denoising Monte Carlo renderings using generative adversarial neural networks (2020-03-10),

12. 10572979 - Denoising Monte Carlo renderings using machine learning with importance sampling (2020-02-25),

13. 10475165 - Kernel-predicting convolutional neural networks for denoising (2019-11-12),

Title: Thijs Vogels: Innovator in Deep Learning and Rendering Technologies

Introduction

Thijs Vogels is a prominent inventor based in Lausanne, Switzerland. He has made significant contributions to the fields of deep learning and rendering technologies, holding a total of 13 patents. His work focuses on enhancing rendering techniques through innovative approaches that leverage machine learning.

Latest Patents

Among his latest patents is "Adaptive sampling using deep learning." This invention provides techniques for adaptive sampling in rendering pipelines, utilizing a machine learning model to generate sampling maps based on rendered pixel data. Another notable patent is "Temporal techniques of denoising Monte Carlo renderings using neural networks." This modular architecture improves the denoising process by extracting and combining feature representations from neighboring frames, thus enhancing the quality of rendered images.

Career Highlights

Thijs has worked with renowned companies such as Disney Enterprises, Inc. and Pixar. His experience in these leading organizations has allowed him to refine his skills and contribute to groundbreaking projects in the animation and rendering industries.

Collaborations

Thijs has collaborated with talented individuals like Fabrice Rousselle and Brian McWilliams. These partnerships have fostered innovation and creativity in his work, leading to advancements in rendering technologies.

Conclusion

Thijs Vogels is a distinguished inventor whose work in deep learning and rendering technologies continues to shape the industry. His patents reflect a commitment to innovation and excellence in the field.

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