Pittsburgh, PA, United States of America

Gaurav Parmar

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Gaurav Parmar: Innovator in Image Processing Technologies

Introduction

Gaurav Parmar is a notable inventor based in Pittsburgh, PA, who has made significant contributions to the field of image processing. With a total of two patents to his name, Parmar's work focuses on utilizing advanced machine learning techniques to enhance digital image modifications.

Latest Patents

Parmar's latest patents include "Utilizing cross-attention guidance to preserve content in diffusion-based image modifications" and "Image inversion using multiple latent spaces." The first patent describes systems and methods for generating modified digital images by employing machine learning models. This innovation allows for the generation of image editing directions between textual identifiers of visual features, ensuring that structural details are preserved during the modification process. The second patent outlines a system for image inversion that segments an input digital image into different regions, assigning each to distinct latent spaces. This approach enables the generation of an output digital image that reconstructs the input while incorporating specific visual features.

Career Highlights

Gaurav Parmar is currently employed at Adobe, Inc., where he continues to develop cutting-edge technologies in image processing. His work at Adobe has positioned him as a key player in the advancement of digital imaging solutions.

Collaborations

Parmar collaborates with talented individuals such as Yijun Li and Richard Zhang, contributing to a dynamic team focused on innovation in the field of image processing.

Conclusion

Gaurav Parmar's contributions to image processing through his patents and work at Adobe, Inc. highlight his role as an influential inventor in the technology sector. His innovative approaches continue to shape the future of digital image modifications.

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