Invention Grant
- Patent Title: Machine learning to process Monte Carlo rendered images
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Application No.: US16219340Application Date: 2018-12-13
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Publication No.: US10832091B2Publication Date: 2020-11-10
- Inventor: Pradeep Sen , Steve Bako , Nima Khademi Kalantari
- Applicant: The Regents of the University of California
- Applicant Address: US CA Oakland
- Assignee: The Regents of the University of California
- Current Assignee: The Regents of the University of California
- Current Assignee Address: US CA Oakland
- Agency: Greer, Burns & Crain, Ltd.
- Agent Steven P. Fallon
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T5/00 ; G06N3/08 ; G06N7/00 ; G06K9/00
Abstract:
A method of rendering an image includes Monte Carlo rendering a scene to produce a noisy image. The noisy image is processed to render an output image. The processing applies a machine learning model that utilizes colors and/or features from the rendering system for denoising the noisy image and/or to for adaptively placing samples during rendering.
Public/Granted literature
- US20190122076A1 MACHINE LEARNING TO PROCESS MONTE CARLO RENDERED IMAGES Public/Granted day:2019-04-25
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