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Sample Distribution Shadow Maps

This demo showcases an extension to Z-partitioning (cascaded shadow maps) called Sample Distribution Shadow Maps (SDSMs). SDSMs optimize the placement and size of a fixed number of Z-partitions by analyzing the shadow sample distribution required by the current frame. They build on the advantages of current state of the art techniques, including predictable performance and constant memory usage,...
Authored by Andrew Lauritzen (Intel) Last updated on 07/06/2016 - 04:38
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