2 papers
cs.CV2025
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Large-scale datasets are usually required to train deep neural networks, but it increases the computational complexity hindering the practical applications. Recently, dataset disti…
cs.CV2024
Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
Jae-Young Yim, Jae-Young Sim
Large-scale 3D point clouds (LS3DPC) obtained by LiDAR scanners require huge storage space and transmission bandwidth due to a large amount of data. The existing methods of LS3DPC…