Shenzhen, China

Xiaojun Hu

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Shenzhen Malong Technologies Co., Ltd.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaojun Hu. Retrieved from https://idiyas.com/inventor/xiaojun-hu-4ija3a3k

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Xiaojun Hu

Introduction

Xiaojun Hu is a prominent inventor based in Shenzhen, China. He has made significant strides in the field of image generation technology. His work focuses on enhancing the capabilities of pose-guided person image generation and virtual try-on applications.

Latest Patents

Xiaojun Hu holds a patent for "Appearance-flow-based image generation." This patent encompasses technologies that model the appearance flow between source and target clothing regions. The disclosed system utilizes a cascaded appearance flow estimation network to progressively refine the appearance flow. This innovative approach allows for the proper encoding of geometric changes between the source and target, facilitating advanced image generation.

Career Highlights

Xiaojun Hu is associated with Shenzhen Malong Technologies Co., Ltd., where he contributes to cutting-edge research and development in image processing technologies. His expertise in appearance-flow-based image generation has positioned him as a key figure in the industry.

Collaborations

Xiaojun Hu collaborates with talented individuals such as Xintong Han and Weilin Huang. Their combined efforts contribute to the advancement of technologies in the field of image generation.

Conclusion

Xiaojun Hu's innovative work in appearance-flow-based image generation showcases his commitment to advancing technology in the field. His contributions are paving the way for new applications in virtual try-on and pose-guided image generation.

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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