Reinforcement learning for light transport
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United States of America Patent
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Oct 30, 2018
Grant Date -
Jan 18, 2018
app pub date -
Jul 12, 2017
filing date -
Jul 13, 2016
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Abstract
A method for light transport includes steps of initializing a data structure that is configured to provide an importance value for each incident sample in a three-dimensional (3D) scene and tracing, in a direction from an origin, a ray of a plurality of rays through the 3D scene to intersect an object at a hitpoint. Additional steps include selecting a next direction of the ray according to a distribution of the importance values at the hitpoint, tracing the ray in the next direction to find a next hitpoint, updating a first importance value corresponding to the hitpoint using a second importance value corresponding to the next hitpoint, and setting the hitpoint of the ray to the next hitpoint. The additional steps are repeated until the next hitpoint is an endpoint. A contribution, based on each hitpoint and the endpoint, to a pixel that is intersected by the ray is recorded.
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