Monte Carlo convolution for learning on non-uniformly sampled point clouds | ACM Transactions on Graphics
acm.org
Monte Carlo convolution for learning on non-uniformly sampled point clouds | ACM Transactions on Graphics
Deep learning systems extensively use convolution operations to process input data.Though convolution is clearly defined for structured data such as 2D images or 3Dvolumes, this is not true for other data types such as sparse point clouds. Previous...
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