Sunnyvale, CA, United States of America

Boxiao Pan

This inventor holds 1 USPTO granted patent. Top assignee: Adobe, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Boxiao Pan. Retrieved from https://idiyas.com/inventor/boxiao-pan-hgkp6fb1

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Boxiao Pan: Inventor in Subject-Aware Video Background Generation.

Introduction

Boxiao Pan is an inventor based in Sunnyvale, California. His work includes a patent on using machine learning to generate composite videos that place a subject in a different environment.

Latest Patents

Pan’s patent, “Subject-Aware Video Background Generation,” describes a system that processes frames from a subject video to create mask data separating the subject from its original environment and feature data describing the subject. The system then uses those inputs, along with a condition frame depicting another environment, to generate a composite video that aligns the subject’s movement with the new setting. The resulting video can be presented through a user interface. Pan has 1 patent.

Career Highlights

Pan is associated with Adobe, Inc. His patent reflects work on machine-learning techniques for video generation and subject-aware compositing.

Collaborations

Pan’s listed coworker is Zhan Xu. The patent description concerns a processing device and machine-learning model; the provided information does not specify the coworker’s role in the invention.

Conclusion

Boxiao Pan’s patent addresses subject-aware video generation by combining subject features, segmentation data, and a condition frame to create a composite video in a different environment.

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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