Disney Enterprises, Inc.

Per H Christensen

Christopher Richard Schroers

Thijs Vogels

Marios Papas

David M Adler

Marco Manzi

Farnood Salehi

Andre C Mazzone

Mark A Meyer

Henrik D Dahlberg

Gerhard Röthlin

Certain aspects of the present disclosure provide techniques for adaptive sampling for rendering using deep learning. This includes receiving, at a sampler in a rendering pipeline, a plurality of rendered pixel data, wherein the sampler includes a first machine learning (ML) model. It further includes generating a sampling map for the rendering pipeline using the first ML model and the plurality of rendered pixel data, including predicting a plurality of pixel values in the sampling map based on a generated distribution of pixel values. It further includes rendering an image using the sampler, the sampling map, and a denoiser in the rendering pipeline.

Adaptive sampling using deep learning

Growing community of inventors

Seattle, WA, United States of America

Per H Christensen