2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing
ICLR 2020poster
This paper presents a novel physics-inspired deep learning approach for point cloud processing motivated by the natural flow phenomena in fluid mechanics. Our learning architecture jointly defines data in an Eulerian world space, using a static background grid, and a Lagrangian material space, usin…