This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Xingguang Yan in 3D Object Generation
Introduction
Xingguang Yan is an accomplished inventor based in Burnaby, Canada. He has made significant contributions to the field of generative modeling, particularly in the creation of three-dimensional (3D) objects. His innovative approach utilizes neural implicit representations to enhance the efficiency and accuracy of 3D object generation.
Latest Patents
Xingguang Yan holds a patent for "Generative modeling for 3D objects using neural implicit representations." This patent outlines systems and methods for generating 3D objects using compressed data as input. The approaches presented allow one or more models to learn from a hash table of latent features, mapping different features to a reconstruction domain through a learned hash function. The 3D shape of an object is encoded into a multi-layered grid and represented by a series of embeddings. Each point within the grid can be interpolated based on the embeddings for a specific layer of the grid. A decoder is then trained to utilize these embeddings to generate the final output object. This innovative method has the potential to revolutionize how 3D objects are created and manipulated.
Career Highlights
Xingguang Yan is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia allows him to collaborate with some of the brightest minds in the industry, further enhancing his contributions to the field of generative modeling.
Collaborations
Some of his notable coworkers include Or Perel and James Robert Lucas. Their collaboration fosters an environment of innovation and creativity, leading to groundbreaking advancements in technology.
Conclusion
Xingguang Yan's work in generative modeling for 3D objects showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for future developments in the field, making a significant impact on how 3D objects are generated and utilized.