55 citations · 82 across the 8 of their papers we have counts for
3 papers · 1 filter
Lossless Coding of Point Cloud Geometry using a Deep Generative Model
Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise +1
This paper proposes a lossless point cloud (PC) geometry compression method that uses neural networks to estimate the probability distribution of voxel occupancy. First, to take in…
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami, Albert Gu, Dat Nguyen +1
This paper studies Principal Component Analysis (PCA) for data lying in hyperbolic spaces. Given directions, PCA relies on: (1) a parameterization of subspaces spanned by these dir…
Multiscale deep context modeling for lossless point cloud geometry compression
Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise +1
We propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MP…