US 12,260,484 B2
Real-time non-photo-realistic rendering
Megan Stifter, Los Angeles, CA (US); Andrew E. Wood, Pasadena, CA (US); and Evan A. Binder, Los Angeles, CA (US)
Assigned to Disney Enterprises, Inc., Burbank, CA (US)
Filed by Disney Enterprises, Inc., Burbank, CA (US)
Filed on Oct. 21, 2022, as Appl. No. 17/971,383.
Claims priority of provisional application 63/281,537, filed on Nov. 19, 2021.
Prior Publication US 2023/0162425 A1, May 25, 2023
Int. Cl. G06T 15/02 (2011.01); A63F 13/60 (2014.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01)
CPC G06T 15/02 (2013.01) [A63F 13/60 (2014.09); G06T 5/50 (2013.01); G06T 5/70 (2024.01); G06T 2207/20221 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for use by a system including processing hardware and a system memory storing a non-photo-realistic (NPR) renderer, the method comprising:
receiving, by the NPR renderer executed by the processing hardware, a digital asset;
displaying, by the NPR renderer executed by the processing hardware, a preliminary image corresponding to the digital asset;
receiving, by the NPR renderer executed by the processing hardware, editing data identifying an NPR effect; and
producing the NPR image, by the NPR renderer executed by the processing hardware in a consolidated rendering and compositing process and in real-time with respect to receiving the editing data, using the preliminary image and the editing data;
wherein the NPR renderer includes at least one machine learning model trained to predict, based on the editing data and the digital asset, one or more operating parameters for use by the NPR renderer when rendering and compositing the NPR image.