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US 10,832,091 B2Granted
Machine learning to process Monte Carlo rendered images
AssigneeThe Regents of the University of California
InventorsPradeep Sen, Steve Bako, Nima Khademi Kalantari
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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.
Claims11
A computer-implemented method of rendering an image, the method comprising:
- Monte Carlo rendering a scene with a rendering system to produce a noisy image;
- processing the noisy image to render an output image, wherein said processing comprises applying a machine learning model that utilizes colors and/or features from the rendering system for denoising the noisy image and/or for adaptively placing samples during rendering, wherein the applying machine learning comprises:
- applying an error metric to measure the distance between filtered images and ground truth images;
- applying backpropagation to minimize an energy function on results of the error metric.
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