Yoga: Yet another geometry-based point cloud compressor
A learning-based YOGA (Yet Another Geometry-based Point Cloud Compressor) is
proposed. It is flexible, allowing for the separable lossy compression of geometry and color …
proposed. It is flexible, allowing for the separable lossy compression of geometry and color …
Lossless point cloud geometry and attribute compression using a learned conditional probability model
In recent years, we have witnessed the presence of point cloud data in many aspects of our
life, from immersive media, autonomous driving to healthcare, although at the cost of a …
life, from immersive media, autonomous driving to healthcare, although at the cost of a …
PCAC-GAN: a sparse-tensor-based generative adversarial network for 3d point cloud attribute compression
Learning-based methods have proven successful in compressing geometric information for
point clouds. For attribute compression, however, they still lag behind non-learning-based …
point clouds. For attribute compression, however, they still lag behind non-learning-based …
LearningPCC: A PyTorch Library for Learning-Based Point Cloud Compression
L **e, W Gao - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Three-dimensional point cloud data is one of the most extensively used data representation
today, favored in various fields for its realistic and lifelike visual effects. However, the …
today, favored in various fields for its realistic and lifelike visual effects. However, the …
Pchm-net: A new point cloud compression framework for both human vision and machine vision
Recently, point cloud data has attracted increasing attention in various machine vision tasks
like classification and detection. However, directly transmitting the raw point cloud for such …
like classification and detection. However, directly transmitting the raw point cloud for such …
G-PCC++: Enhanced Geometry-based Point Cloud Compression
MPEG Geometry-based Point Cloud Compression (G-PCC) standard is developed for lossy
encoding of point clouds to enable immersive services over the Internet. However, lossy G …
encoding of point clouds to enable immersive services over the Internet. However, lossy G …
Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction
This work extends the multiscale structure originally developed for point cloud geometry
compression to point cloud attribute compression. To losslessly encode the attribute while …
compression to point cloud attribute compression. To losslessly encode the attribute while …
3D-MSFC: A 3D multi-scale features compression method for object detection
As machine vision tasks rapidly evolve, a new concept of compression, namely video coding
for machines (VCM), has emerged. However, current VCM methods are only suitable for 2D …
for machines (VCM), has emerged. However, current VCM methods are only suitable for 2D …
3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning
3-D point clouds facilitate 3-D visual applications with detailed information of objects and
scenes but bring about enormous challenges to design efficient compression technologies …
scenes but bring about enormous challenges to design efficient compression technologies …
Scalable Point Cloud Attribute Compression
This paper develops a Scalable Point Cloud Attribute Compression solution, termed
ScalablePCAC. In a two-layer example, ScalablePCAC uses the standard G-PCC at the …
ScalablePCAC. In a two-layer example, ScalablePCAC uses the standard G-PCC at the …