2024
Towards a Density Preserving Objective Function for Learning on Point Sets
ECCV 2024poster
"Accurate measurement of the discrepancy between point sets is crucial for point cloud learning tasks. Chamfer distance (CD) is favoured over more effective loss metrics such as Earth Mover’s Distance (EMD) for this purpose due to its computational efficiency. Previous investigations into loss funct…