The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 12, 2024

Filed:

Feb. 19, 2020
Applicants:

Disney Enterprises, Inc., Burbank, CA (US);

Eth Zürich (Eidgenössische Technische Hochschule Zürich), Zürich, CH;

Inventors:

Zhilin Cai, Zurich, CH;

Tunc Ozan Aydin, Zurich, CH;

Marco Manzi, Zurich, CH;

Ahmet Cengiz Oztireli, Zurich, CH;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 5/50 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Techniques are disclosed for training and applying a denoising model. The denoising model includes multiple specialized denoisers and a generalizer, each of which is a machine learning model. The specialized denoisers are trained to denoise images associated with specific ranges of noise parameters. The generalizer is trained to generate per-pixel denoising kernels for denoising images associated with arbitrary noise parameters using outputs of the specialized denoisers. Subsequent to training, a noisy image, such as a live-action image or a rendered image, can be denoised by inputting the noisy image into the specialized denoisers to obtain intermediate denoised images that are then input, along with the noisy image, into the generalizer to obtain per-pixel denoising kernels, which can be normalized and applied to denoise the noisy image.


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