Somerville, MA, United States of America

Can Qin

This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Salesforce, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Can Qin in Image Generation

Introduction

Can Qin is an innovative inventor based in Somerville, MA (US). He has made significant contributions to the field of image generation, showcasing his expertise through his patented work. His dedication to advancing technology is evident in his research and development efforts.

Latest Patents

Can Qin holds a patent for "Systems and methods for controllable image generation." This patent describes a method of image generation that includes both a fixed diffusion model and a trainable diffusion model. The fixed diffusion model is pretrained on a large training corpus, while the trainable diffusion model allows for control over the image generation process by modifying internal representations of the fixed diffusion model. The method also incorporates task instructions alongside text prompts to guide the image generation process, adapting visual conditions according to the task at hand. This innovative approach enhances the flexibility and effectiveness of image generation techniques.

Career Highlights

Can Qin is currently employed at Salesforce, Inc., where he continues to push the boundaries of technology. His work at Salesforce allows him to collaborate with other talented professionals in the field, contributing to the company's innovative projects.

Collaborations

Some of Can Qin's coworkers include Shu Zhang and Ning Yu. Their collaboration fosters a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Can Qin's contributions to image generation through his patented methods highlight his role as a leading inventor in the field. His work not only advances technology but also inspires future innovations in image processing.

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