GQE-Net: a graph-based quality enhancement network for point cloud color attribute
J Xing, H Yuan, R Hamzaoui, H Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, point clouds have become increasingly popular for representing three-
dimensional (3D) visual objects and scenes. To efficiently store and transmit point clouds …
dimensional (3D) visual objects and scenes. To efficiently store and transmit point clouds …
Rate-distortion optimized quantization for geometry-based point cloud compression
T Guo, H Yuan, L Wang, T Wang - Journal of Electronic …, 2023 - spiedigitallibrary.org
Limited by the network bandwidth, three-dimensional (3D) point cloud needs to be efficiently
compressed before transmission. As one of the three attribute coding methods adopted in …
compressed before transmission. As one of the three attribute coding methods adopted in …
Cav3: Cache-assisted viewport adaptive volumetric video streaming
Volumetric video (VV) recently emerges as a new form of video application providing a
photorealistic immersive 3D viewing experience with 6 degree-of-freedom (DoF), which …
photorealistic immersive 3D viewing experience with 6 degree-of-freedom (DoF), which …
C2SPoint: A classification-to-saliency network for point cloud saliency detection
Point cloud saliency detection is an important technique that support downstream tasks in
3D graphics and vision, like 3D model simplification, compression, reconstruction and …
3D graphics and vision, like 3D model simplification, compression, reconstruction and …
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 …
Fast inter-frame motion prediction for compressed dynamic point cloud attribute enhancement
Recent years have witnessed the success of deep learning methods in quality enhancement
of compressed point cloud. However, existing methods focus on geometry and attribute …
of compressed point cloud. However, existing methods focus on geometry and attribute …
Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
The Geometry-based Point Cloud Compression (G-PCC) has been developed by the
Moving Picture Experts Group to compress point clouds efficiently. Nevertheless, in its lossy …
Moving Picture Experts Group to compress point clouds efficiently. Nevertheless, in its lossy …
Saliency-aware spatio-temporal artifact detection for compressed video quality assessment
Compressed videos often exhibit visually annoying artifacts, known as Perceivable
Encoding Artifacts (PEAs), which dramatically degrade video visual quality. Subjective and …
Encoding Artifacts (PEAs), which dramatically degrade video visual quality. Subjective and …
Graph-based point cloud color denoising with 3-dimensional patch-based similarity
Point clouds are utilized in many 3-D applications such as cross-reality (XR) and realistic 3-
D display. They consist of a set of points with 3-D coordinates and associated color signals …
D display. They consist of a set of points with 3-D coordinates and associated color signals …
fast graph-based denoising for point cloud color information
Point clouds are utilized in various 3D applications such as cross-reality (XR) and realistic
3D displays. In some applications, eg, for live streaming using a 3D point cloud, real-time …
3D displays. In some applications, eg, for live streaming using a 3D point cloud, real-time …