Company Filing History:
Years Active: 2025
Title: Tim Dockhorn: Innovator in Generative Modeling and Synthetic Data Generation
Introduction
Tim Dockhorn is a prominent inventor based in Waterloo, Canada. He has made significant contributions to the field of generative modeling and synthetic data generation. With a total of 2 patents, Dockhorn's work is at the forefront of technological advancements in this area.
Latest Patents
Tim Dockhorn's latest patents include "Diffusion-based generative modeling for synthetic data generation systems and applications." This patent describes systems and methods related to the synthesis of content using generative models. In one embodiment, a score-based generative model utilizes a stochastic differential equation with critically-damped Langevin diffusion to learn how to synthesize content. During the forward diffusion process, noise is introduced into a set of auxiliary values for an input image to learn a score function. This score function is then employed with the stochastic differential equation during a reverse diffusion denoising process to remove noise from the image, resulting in a reconstructed version of the input image. Another notable patent is "High-resolution video generation using image diffusion models." This patent discloses systems and methods for aligning images into frames of a first video using a temporal attention layer of a neural network model. The first video has a specific spatial resolution, and a second video with a higher spatial resolution is generated by up-sampling the first video using an up-sampler neural network model.
Career Highlights
Tim Dockhorn is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has allowed him to explore innovative solutions in generative modeling and synthetic data generation.
Collaborations
Tim Dockhorn has collaborated with notable colleagues, including Karsten Julian Kreis and Robin Rombach. These collaborations have contributed to the advancement of their shared research interests and innovations.
Conclusion
Tim Dockhorn is a key figure in the realm of generative modeling and synthetic data generation. His patents and work at Nvidia Corporation highlight his commitment to pushing the boundaries of technology. His contributions are paving the way for future advancements in the field.