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:
Jan. 20, 2026

Filed:

Nov. 08, 2023
Applicants:

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

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

Inventors:

Derek Edward Bradley, Zürich, CH;

Prashanth Chandran, Zürich, CH;

Paulo Fabiano Urnau Gotardo, Zürich, CH;

Yingyan Xu, Zürich, CH;

Gaspard Zoss, Zürich, CH;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/50 (2011.01); G06T 7/90 (2017.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 15/506 (2013.01); G06T 7/90 (2017.01); G06T 19/20 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/21 (2013.01); G06T 2219/2012 (2013.01);
Abstract

The present invention sets forth a technique for generating two-dimensional (2D) renderings of a three-dimensional (3D) scene from an arbitrary camera position under arbitrary lighting conditions. This technique includes determining, based on a plurality of 2D representations of a 3D scene, a radiance field function for a neural radiance field (NeRF) model. This technique further includes determining, based on a plurality of 2D representations of a 3D scene, a radiance field function for a 'one light at a time' (OLAT) model. The technique further includes rendering a 2D representation of the scene based on a given camera position and illumination data. The technique further includes computing a rendering loss based on the difference between the rendered 2D representation and an associated one of the plurality of 2D representations of the scene. The technique further includes modifying at least one of the NeRF and OLAT models based on the rendering loss.


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