Wrocław, Poland

Michal Jakub Stypulkowski

This inventor holds 1 USPTO granted patent. Top assignee: Qualcomm Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michal Jakub Stypulkowski. Retrieved from https://idiyas.com/inventor/michal-jakub-stypulkowski

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Michal Jakub Stypulkowski: Inventor in Image Processing

Introduction

Michal Jakub Stypulkowski is an inventor based in Wrocław, Poland, associated with Qualcomm Incorporated. His patent work concerns image processing and the use of diffusion models to enhance video frames.

Latest Patents

Stypulkowski is named on one patent, 1 patent: “Frame Enhancement Using a Diffusion Model.” The invention describes techniques for processing image data. A computing device determines optical flow between a current frame and a previous frame at a lower resolution, then uses that flow to warp an earlier, higher-resolution frame. A diffusion machine learning model processes the current frame, the warped frame, and a noise frame to generate an output frame at the higher resolution.

Career Highlights

His disclosed patent work focuses on combining optical-flow-based frame alignment with diffusion modeling to produce higher-resolution image frames. The patent identifies Qualcomm Incorporated as the associated company.

Collaborations

The provided information names Jens Petersen and Noor Fathima Khanum Mohamed as Stypulkowski’s coworkers. Their specific roles in the patent or related work are not stated.

Conclusion

Michal Jakub Stypulkowski’s patent reflects work in image processing, particularly the use of diffusion models and optical flow for frame enhancement.

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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