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:
Jul. 08, 2025

Filed:

May. 21, 2024
Applicants:

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

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

Inventors:

Marios Papas, Opfikon, CH;

Gerhard Roethlin, Horw, CH;

Tunc Ozan Aydin, Zürich, CH;

Xianyao Zhang, Zürich, CH;

Farnood Salehi, Zurich, CH;

Shilin Zhu, Emeryville, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 3/067 (2024.01); G06T 5/60 (2024.01); G06T 9/00 (2006.01); G06T 15/00 (2011.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 3/067 (2024.01); G06T 5/60 (2024.01); G06T 9/00 (2013.01); G06T 15/00 (2013.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20182 (2013.01);
Abstract

A system includes a pre-processor configured to receive three-dimensional (3-D) image data, flatten the 3-D image data to produce corresponding two-dimensional (2-D) image data, and concatenate the 3-D image data and the corresponding 2-D image data to provide concatenated image data. The system further includes an encoder including one or more first neural networks (NNs), the encoder configured to use the one or more first NNs to encode the concatenated image data to provide encoded data, a decoder including one or more second NNs, the decoder configured to use the one or more second NNs to decode the encoded data to provide decoded data, and a reconstructor including a plurality of hybrid 2-D/3-D reconstructors configured to reconstruct the decoded data to provide a denoised 3-D output image corresponding to the 3-D image data.


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