This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Eric Ryan Wong Chan
Introduction
Eric Ryan Wong Chan is an accomplished inventor based in Alameda, CA. He has made significant contributions to the field of image synthesis through his innovative patent. His work focuses on utilizing generative networks to enhance image processing techniques.
Latest Patents
Eric holds a patent for "Image synthesis using diffusion models created from single or multiple view images." This patent describes a method and system for performing novel image synthesis using generative networks. The encoder-based model is trained to infer a 3D representation of an input image. A feature image is generated using volume rendering techniques in accordance with the 3D representation. The feature image is then concatenated with a noisy image and processed by a denoiser network to predict an output image from a novel viewpoint that is consistent with the input image. The denoiser network can be a modified Noise Conditional Score Network (NCSN). In some embodiments, multiple input images or keyframes can be provided as input, and a different 3D representation is generated for each input image. The feature image is then generated, during volume rendering, by sampling each of the 3D representations and applying a mean-pooling operation to generate an aggregate feature image. Eric has 1 patent to his name.
Career Highlights
Eric is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His role involves working on advanced image synthesis techniques that push the boundaries of visual computing.
Collaborations
Eric has collaborated with notable colleagues, including Miika Samuli Aittala and Matthew Aaron Wong Chan. Their combined expertise contributes to the innovative projects at Nvidia Corporation.
Conclusion
Eric Ryan Wong Chan is a pioneering inventor whose work in image synthesis is shaping the future of generative networks. His contributions are significant in advancing technology in the field of image processing.