Adaptive sampling using deep learning
US12373909B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2022 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Oct 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.