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For the Inventor, By the Inventor

Toronto, Canada

Sanja Fidler

USPTO Granted Patents = 31 

 

Average Co-Inventor Count = 5.2

ph-index = 2

Forward Citations = 27(Granted Patents)


Company Filing History:

goldMedal26 out of 5,406 
 
Nvidia Corporation
 patents
silverMedal2 out of 492 
 
University of Toronto
 patents
bronzeMedal3 out of 832,680 
Other
 patents

Years Active: 2020-2025

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31 patents (USPTO):
1. 12488538 - Using machine learning for surface reconstruction in synthetic content generation systems and applications (2025-12-02),
2. 12488221 - Unsupervised pre-training of neural networks using generative models (2025-12-02),
3. 12482189 - Environment generation using one or more neural networks (2025-11-25),
4. 12475604 - Object image completion (2025-11-18),
5. 12430851 - Synthesizing high resolution 3D shapes from lower resolution representations for synthetic data generation systems and applications (2025-09-30),
6. 12430842 - Differentiable object insertion using hybrid lighting volumes for synthetic data generation (2025-09-30),
7. 12417602 - Text-driven 3D object stylization using neural networks (2025-09-16),
8. 12412340 - Synthesizing three-dimensional shapes using latent diffusion models in content generation systems and applications (2025-09-09),
9. 12322068 - Generating voxel representations using one or more neural networks (2025-06-03),
10. 12288277 - High-precision semantic image editing using neural networks for synthetic data generation systems and applications (2025-04-29),
11. 12243152 - Hybrid differentiable rendering for light transport simulation systems and applications (2025-03-04),
12. 12192547 - High-resolution video generation using image diffusion models (2025-01-07),
13. 12141986 - Shape fusion for image analysis (2024-11-12),
14. 12112445 - Transferring geometric and texture styles in 3D asset rendering using neural networks (2024-10-08),
15. 11989262 - Unsupervised domain adaptation with neural networks (2024-05-21),

Title: The Innovative Mind of Sanja Fidler: Leading the Charge in 3D Technology

Introduction

Sanja Fidler, an accomplished inventor based in Toronto, Canada, has made significant contributions to the field of 3D technology through her innovative patents. With a remarkable portfolio of 21 patents, Fidler has consistently pushed the boundaries of what's possible in light transport simulation and video generation, demonstrating her expertise and creativity in the world of technical innovations.

Latest Patents

Among her latest patents is the groundbreaking invention titled "Hybrid differentiable rendering for light transport simulation systems and applications." This patent details a sophisticated method for handling 3D models by training machine learning models to disentangle various components, including 3D geometry, lighting, and material information. The technology allows for accurate projections of 3D models onto image planes, enhancing numerous applications such as image editing and synthetic data generation.

Another notable patent is "High-resolution video generation using image diffusion models," which introduces systems and methods to align and upscale video resolution through advanced neural network models. This technique provides significant improvements in video quality and offers exciting possibilities for media production.

Career Highlights

Sanja Fidler has worked with prestigious companies, notably Nvidia Corporation, where she has further honed her skills in advanced computer graphics and machine learning. Her contributions in both research and development have had a profound impact on the evolution of 3D rendering technologies and video production.

Collaborations

Fidler's innovative journey has seen fruitful collaborations with notable colleagues such as Amlan Kar and Wenzheng Chen. These partnerships have resulted in joint efforts in research that have inspired new methods and applications in technology.

Conclusion

Sanja Fidler continues to be a pioneering figure in the realm of 3D technology and video generation. Her patents not only pave the way for new applications but also inspire future innovations in the field. As she advances her career, the contributions she makes will undoubtedly leave a lasting impact on the industry.

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