Pune, India

Vishesh Lokras

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vishesh Lokras. Retrieved from https://idiyas.com/inventor/vishesh-lokras

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

Calculating rank
USPTO Granted Patents = 2 

Average Co-Inventor Count = 9.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Vishesh Lokras: Inventor in Neural-Network-Based Image Generation

Introduction

Vishesh Lokras is an inventor based in Pune, India, whose patent work concerns generating images with neural networks and camera-motion data. He is associated with NVIDIA Corporation.

Latest Patents

The provided information lists one patent for Lokras: “Motion-Based Image Generation Using One or More Neural Networks.” The invention describes apparatuses, systems, and techniques for generating image data. In at least one embodiment, neural networks trained using camera motions relative to objects generate images of those objects. The record provided does not specify the patent’s filing or grant date.

Career Highlights

Lokras’s listed patent reflects work at the intersection of computer vision, neural networks, and image generation. The supplied information identifies NVIDIA Corporation as his company and lists 1 patent.

Collaborations

Ting-Chun Wang is identified as Lokras’s coworker. The information provided does not specify whether Wang collaborated on the listed patent.

Conclusion

Vishesh Lokras’s listed invention explores how camera motion and neural networks can be used to generate images, highlighting his connection to image-generation research at NVIDIA Corporation.

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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