San Francisco, CA, United States of America

Richard Zhang

USPTO Granted Patents = 35 

Average Co-Inventor Count = 4.4

ph-index = 4

Forward Citations = 43(Granted Patents)


Location History:

  • Naperville, IL (US) (2022)
  • Berkeley, CA (US) (2021 - 2023)
  • San Francisco, CA (US) (2021 - 2024)

Company Filing History:


Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

35 patents (USPTO):

Title: Innovations of Richard Zhang in Image Generation Technology

Introduction

Richard Zhang, based in San Francisco, CA, is an accomplished inventor with a remarkable portfolio of 25 patents, primarily focused on advancements in image generation technology. His work has contributed significantly to the fields of artificial intelligence and machine learning, particularly in the manipulation and generation of digital images.

Latest Patents

Among Richard's latest innovations are two groundbreaking patents. The first is a user-guided image generation system that allows users to influence a generative model during its training phase. This system enables the model to produce new images with specific visual traits desired by the user. It includes a user interface where interpretable factors can be selected and employed in creating a user-adapted generative model for generating images in a target domain.

The second patent pertains to transferring faces between digital images using a blending network. This technology combines latent codes from source and target images and utilizes a generative neural network to produce a combined digital image. The system further enhances image blending with face segmentation techniques to achieve a seamless result.

Career Highlights

Richard is currently part of Adobe Inc., a leading company in digital media and creativity solutions. His role at Adobe reflects his commitment to pushing the boundaries of image processing technologies, which are fundamental to the company's offerings.

Collaborations

Throughout his career, Richard has collaborated with notable colleagues, including Elya Shechtman and Jingwan Lu. Their combined expertise in the field of machine learning and image generation has fostered innovative solutions that effectively address complex challenges in image synthesis.

Conclusion

Richard Zhang's contributions to image generation technology exemplify the spirit of innovation that drives the tech industry forward. His patents not only showcase his expertise as an inventor but also underline the significance of collaborative efforts in achieving breakthroughs in modern technology. As the field continues to evolve, Richard's work remains at the forefront, shaping the future of digital imaging.

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