Toronto, Canada

Sanja Fidler

This inventor holds 58 USPTO granted patents and 83 published patent applications, plus 5 CIPO patents, primarily in Neural Network Applications. Top assignees: Nvidia Corporation, University of Toronto, Other. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanja Fidler. Retrieved from https://idiyas.com/inventor/sanja-fidler

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 58 

% Patents Active = 69.0

 

Average Co-Inventor Count = 5.2

ph-index = 3

Forward Citations = 49(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Graphics Rendering
Neural Networks
3D Model Generation
Image Generation
Semantic Scene Completion
Texture Transfer
Synthetic Data Generation
Machine Learning
Video Generation
Object Annotation
Scene Structure
Differentiable Rendering
58 patents (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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