Seattle, WA, United States of America

Bingxuan Liang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Bingxuan Liang: Innovator in Geolocation-Based Image Generation

Introduction

Bingxuan Liang is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of image generation through his innovative patent. His work focuses on the intersection of geolocation technology and artificial intelligence, showcasing his expertise in creating advanced systems for generating contextual images.

Latest Patents

Bingxuan Liang holds a patent titled "Geolocation-based background generation for object images." This patent describes systems and methods for generating geolocation-based images for a target object. The invention involves a geolocation module that receives a set of geolocations associated with a geographic region of interest. Each geolocation is mapped to context data, which is then utilized by a prompt generation module that generates multiple prompts based on the geolocations and context data. This module incorporates a first generative artificial intelligence (AI) model. Subsequently, an image generation module, which includes a second generative AI model, generates multiple synthetic images depicting the target object in a background created based on the prompts.

Career Highlights

Bingxuan Liang is currently employed at Adobe, Inc., where he continues to push the boundaries of technology and innovation. His work at Adobe allows him to collaborate with other talented professionals in the field, further enhancing his contributions to the industry.

Collaborations

Some of his notable coworkers include Oleksandr Paliarush and Michele Saad. Their collaborative efforts contribute to the innovative environment at Adobe, fostering creativity and technological advancement.

Conclusion

Bingxuan Liang is a pioneering inventor whose work in geolocation-based image generation exemplifies the potential of combining AI with contextual data. His contributions are shaping the future of image technology and enhancing the way we interact with visual content.

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