Oakland, CA, United States of America

Karthik Vaidyanathan

This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karthik Vaidyanathan. Retrieved from https://idiyas.com/inventor/karthik-vaidyanathan-mf47g1im

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Karthik Vaidyanathan: Innovator in Real-Time Neural Appearance Models

Introduction

Karthik Vaidyanathan is a prominent inventor based in Oakland, CA. He has made significant contributions to the field of computer graphics and neural rendering. His innovative work focuses on enhancing the realism of rendered scenes through advanced neural techniques.

Latest Patents

Karthik holds a patent for "Real-time neural appearance models." This patent describes a method for rendering scenes in real-time with complex material appearances that were previously limited to offline processing. The technology utilizes a neural decoder to encode learned hierarchical textures as latent codes. When a ray intersects with geometry in a scene, the intersection point is mapped to a latent code, which is then interpreted to produce reflectance values and pixel colors.

Career Highlights

Karthik is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia allows him to push the boundaries of real-time rendering and contribute to advancements in visual computing.

Collaborations

Karthik collaborates with talented individuals such as Alex John Bauld Evans and Jan Novák. These collaborations enhance the innovative environment in which he works, fostering creativity and technological advancement.

Conclusion

Karthik Vaidyanathan is a key figure in the development of real-time neural appearance models, showcasing the potential of neural rendering in modern graphics. His contributions continue to influence the field and inspire future innovations.

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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