This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yoni Kasten: Innovator in Neural Fields
Introduction
Yoni Kasten is an accomplished inventor based in Hinanit, IL. He has made significant contributions to the field of 3D modeling and neural networks. His innovative work focuses on enhancing the detail and quality of generated three-dimensional models.
Latest Patents
Yoni Kasten holds a patent for "Increasing levels of detail for neural fields using diffusion models." This patent outlines systems and methods that provide higher levels of detail (LODs) for generated 3D models, particularly those represented by neural radiance fields (NeRFs). The technology allows users to request additional LODs, enabling them to zoom into images or receive information about specific features within the image. The process involves using diffusion models to generate images at higher resolutions and to create finer details based on information extracted from the original image or text prompts. Newly generated images can then be integrated into a set of images associated with the 3D models, facilitating the generation of models with enhanced detail.
Career Highlights
Yoni Kasten is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia has positioned him at the forefront of innovation in the field of neural networks and 3D modeling.
Collaborations
Yoni collaborates with talented individuals such as Or Perel and Maria Shugrina. Their combined expertise contributes to the advancement of technology in their respective fields.
Conclusion
Yoni Kasten is a notable inventor whose work in neural fields and 3D modeling is paving the way for future innovations. His contributions are significant in enhancing the quality and detail of generated models, showcasing the potential of diffusion models in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
