London, United Kingdom

Patrick Esser

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Stability Ai Ltd. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Patrick Esser. Retrieved from https://idiyas.com/inventor/patrick-esser-b2t61eln

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

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: The Innovative Mind of Patrick Esser

Introduction

Patrick Esser is a notable inventor based in London, GB. He has made significant contributions to the field of artificial intelligence, particularly in content synthesis. His work focuses on utilizing generative AI models to create images based on specific prompts.

Latest Patents

Patrick Esser holds a patent for a method titled "Content synthesis using generative Artificial Intelligence model." This innovative method involves receiving a prompt that describes a desired characteristic of an image. The process includes generating a prompt encoding using a set of encoding models. It further utilizes a diffusion transformer model to create image embeddings based on the prompt encoding and noise input. Ultimately, the method generates an image based on the second image embedding.

Career Highlights

Patrick Esser is currently employed at Stability AI Ltd, where he continues to push the boundaries of AI technology. His work has garnered attention for its potential applications in various industries, including entertainment and design.

Collaborations

Some of his notable coworkers include Rahim Entezari and Robin Rombach, who contribute to the innovative environment at Stability AI Ltd.

Conclusion

Patrick Esser's contributions to generative AI and content synthesis highlight his role as a leading inventor in the field. His innovative methods pave the way for future advancements in artificial intelligence.

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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