Survey on deep learning-based point cloud compression
Point clouds are becoming essential in key applications with advances in capture
technologies leading to large volumes of data. Compression is thus essential for storage …
technologies leading to large volumes of data. Compression is thus essential for storage …
Lossy point cloud geometry compression via end-to-end learning
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …
Octattention: Octree-based large-scale contexts model for point cloud compression
In point cloud compression, sufficient contexts are significant for modeling the point cloud
distribution. However, the contexts gathered by the previous voxel-based methods decrease …
distribution. However, the contexts gathered by the previous voxel-based methods decrease …
Multiscale point cloud geometry compression
Recent years have witnessed the growth of point cloud based applications for both
immersive media as well as 3D sensing for auto-driving, because of its realistic and fine …
immersive media as well as 3D sensing for auto-driving, because of its realistic and fine …
Perceptual quality assessment of colored 3D point clouds
3D point clouds have found a wide variety of applications in multimedia processing, remote
sensing, and scientific computing. Although most point cloud processing systems are …
sensing, and scientific computing. Although most point cloud processing systems are …
Sparse tensor-based multiscale representation for point cloud geometry compression
This study develops a unified Point Cloud Geometry (PCG) compression method through the
processing of multiscale sparse tensor-based voxelized PCG. We call this compression …
processing of multiscale sparse tensor-based voxelized PCG. We call this compression …
Learning convolutional transforms for lossy point cloud geometry compression
Efficient point cloud compression is fundamental to enable the deployment of virtual and
mixed reality applications, since the number of points to code can range in the order of …
mixed reality applications, since the number of points to code can range in the order of …
A comprehensive study and comparison of core technologies for MPEG 3-D point cloud compression
Point cloud based 3D visual representation is becoming popular due to its ability to exhibit
the real world in a more comprehensive and immersive way. However, under a limited …
the real world in a more comprehensive and immersive way. However, under a limited …
A hybrid compression framework for color attributes of static 3D point clouds
The emergence of 3D point clouds (3DPCs) is promoting the rapid development of
immersive communication, autonomous driving, and so on. Due to the huge data volume …
immersive communication, autonomous driving, and so on. Due to the huge data volume …
A survey on 3D point cloud compression using machine learning approaches
Machine learning has been widely used for solving several data processing tasks and
recently found applications in data compression domain as well, notably for point cloud …
recently found applications in data compression domain as well, notably for point cloud …