Berkeley, CA, United States of America

Jiayun Wang

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiayun Wang. Retrieved from https://idiyas.com/inventor/jiayun-wang-0vq0n0w5

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Jiayun Wang in Image Generation

Introduction

Jiayun Wang is an accomplished inventor based in Berkeley, CA. She has made significant contributions to the field of image generation through her innovative techniques. Her work focuses on utilizing machine learning models to enhance the process of creating images based on pose data.

Latest Patents

Jiayun Wang holds a patent for her invention titled "Image generation based on a multi-image set and pose data." This patent describes techniques for generating images by leveraging multiple machine learning models. The process involves generating pose features and appearance features from different images, ultimately combining them to create a new image that reflects a target pose.

Career Highlights

Jiayun Wang is currently employed at Amazon Technologies, Inc., where she applies her expertise in machine learning and image processing. Her innovative approach has positioned her as a key player in the development of advanced image generation technologies.

Collaborations

Throughout her career, Jiayun has collaborated with notable colleagues, including Amin Kheradmand and Himanshu Arora. These collaborations have further enriched her work and contributed to the advancement of her projects.

Conclusion

Jiayun Wang's contributions to image generation through her patented techniques demonstrate her innovative spirit and expertise in machine learning. Her work continues to influence the field and pave the way for future advancements in technology.

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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