Our mission is to develop a sparse visual model of the world that enables extremely efficient and accurate sensor measurement, synthesis, and analysis through sparse processing. 

Based on the sparse visual world model, we derive optimal sampling patterns and measurement strategies that can be used in a wide range of applications including computer graphics rendering and visualization, single- and multi-sensor image and video capture, radiance fields, or LiDAR simulation and measurement to name a few.

SPARSIT

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