Multi-grained point cloud geometry compression via dual-model prediction with extended octree
T Qin, G Li, W Gao, S Liu - ACM Transactions on Multimedia Computing …, 2024 - dl.acm.org
The state-of-the-art geometry-based point cloud compression (G-PCC)(Octree) is the fine-
grained approach, which uses the octree to partition point clouds into voxels and predicts …
grained approach, which uses the octree to partition point clouds into voxels and predicts …
IPDAE: Improved patch-based deep autoencoder for lossy point cloud geometry compression
Point cloud is a crucial representation of 3D contents, which has been widely used in many
areas such as virtual reality, mixed reality, autonomous driving, etc. With the boost of the …
areas such as virtual reality, mixed reality, autonomous driving, etc. With the boost of the …
Non-rigid registration-based progressive motion compensation for point cloud geometry compression
There is a critical requirement for efficiently compressing point cloud geometries
representing 3-D moving objects in various applications. The Moving Picture Experts Group …
representing 3-D moving objects in various applications. The Moving Picture Experts Group …
Multiscale latent-guided entropy model for lidar point cloud compression
The non-uniform distribution and extremely sparse nature of the LiDAR point cloud (LPC)
bring significant challenges to its high-efficient compression. This paper proposes a novel …
bring significant challenges to its high-efficient compression. This paper proposes a novel …
Efficient lidar point cloud geometry compression through neighborhood point attention
Although convolutional representation of multiscale sparse tensor demonstrated its superior
efficiency to accurately model the occupancy probability for the compression of geometry …
efficiency to accurately model the occupancy probability for the compression of geometry …
Isolated points prediction via deep neural network on point cloud lossless geometry compression
Z Wei, B Niu, H **ao, Y He - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
The point cloud is one of the indispensable data structures of virtual and mixed reality
applications. Vivid scene requirement means that millions of points need to be encoded …
applications. Vivid scene requirement means that millions of points need to be encoded …
Pcgformer: Lossy point cloud geometry compression via local self-attention
Although the multiscale sparse tensor using stacked convolutions has attained noticeable
gains for lossy compression of point cloud geometry (PCG), its capability suffers because …
gains for lossy compression of point cloud geometry (PCG), its capability suffers because …
Geometric Prior Based Deep Human Point Cloud Geometry Compression
The emergence of digital avatars has prompted an exponential increase in the demand for
human point clouds with realistic and intricate details. The compression of such data …
human point clouds with realistic and intricate details. The compression of such data …
[HTML][HTML] Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations
R Li, L Gan, Y Di, H Tian, Q Zuo, Y Luo, X Wu… - Journal of King Saud …, 2024 - Elsevier
Abstract 3D laser scanning is widely used in modeling industrial scenes, involving crucial
steps like point cloud (PC) data preprocessing and extracting modeling targets from …
steps like point cloud (PC) data preprocessing and extracting modeling targets from …
Learning Hierarchical Adaptive Code Clouds for Neural 3D Shape Representation
Neural implicit representation (NIR) has attracted significant attention in 3D shape
representation for its efficiency, generalizability, and flexibility compared with traditional …
representation for its efficiency, generalizability, and flexibility compared with traditional …