Location History:
- San Francisco, CA (US) (2023)
- San Jose, CA (US) (2024)
Company Filing History:
Years Active: 2023-2025
Title: Inventor Krishna Bhargava Mullia Lakshminarayana: A Pioneer in Neural Networks and Rendering Technologies
Introduction
Krishna Bhargava Mullia Lakshminarayana is an innovative inventor based in San Jose, CA, known for his significant contributions to the field of image rendering and neural networks. With a total of three patents to his name, he has been instrumental in improving the ways we visualize and render complex data in three-dimensional environments.
Latest Patents
Among his latest patents, one notably focuses on "Neural Networks to Render Textured Materials on Curved Surfaces." This innovative scene modeling system processes a three-dimensional (3D) scene, including a 3D object, and utilizes a silhouette bidirectional texture function (SBTF) model to create output images of textured materials rendered on the object's surface. The process involves determining bounding geometry for the 3D object's surface and calculating pixel values based on this geometry to produce high-quality images.
Another remarkable patent addresses "Denoising Images Rendered Using Monte Carlo Renderings." This technology identifies multiple pixel-based sampling points within an image and estimates corresponding radiance vectors. Utilizing two machine learning modules, the system generates intermediate and final radiance feature vectors for each pixel, ultimately applying computed kernels to minimize noise in rendered images, improving their quality significantly.
Career Highlights
Krishna has worked with renowned companies such as Adobe, Inc. and the University of California, contributing to cutting-edge research and development in the realm of digital imaging and machine learning technologies. His work has an enduring impact on the efficiency and effectiveness of rendering techniques in various applications.
Collaborations
During his career, Krishna has collaborated with talented individuals like Zexiang Xu and Milos Hasan. Together, they have worked on projects that leverage their collective expertise in imaging technology, affirming the importance of teamwork in driving innovation forward.
Conclusion
Krishna Bhargava Mullia Lakshminarayana stands out as an influential inventor whose patents reflect his commitment to advancing rendering techniques and image quality through innovative applications of neural networks. His continuous efforts in this domain promise to enhance various industries that rely on precise image rendering and machine learning advancements.
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