NEURAL INDIRECT ILLUMINATION WITH LIGHT METADATA ENCODING FOR DYNAMIC LIGHTING ENVIRONMENTS
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United States of America
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Issued Date -
Apr 3, 2025
app pub date -
Sep 29, 2023
filing date -
Sep 29, 2023
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Abstract
Described herein is a technique to approximate photorealistic indirect illumination shown in path traced images for dynamic lighting environments using a neural network. Given a lightly ray traced image, intermediate buffers from rendering pipeline, and light and camera information, the photorealism of rendered images can be enhanced via the neural network to approximate path traced indirect illumination.
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