Deep-PCAC: An end-to-end deep lossy compression framework for point cloud attributes
The large data volume of point clouds poses severe challenges for efficient storage and
transmission in recent years. In this paper, we propose the first--to our best knowledge--end …
transmission in recent years. In this paper, we propose the first--to our best knowledge--end …
Point cloud compression using non-cubic projections and masks
A Tourapis, K Mammou, Y Su, FA Robinet… - US Patent …, 2021 - Google Patents
A system comprises an encoder configured to compress attribute information and/or spatial
for a point cloud and/or a decoder configured to decompress compressed attribute and/or …
for a point cloud and/or a decoder configured to decompress compressed attribute and/or …
Video-based point cloud compression artifact removal
Photo-realistic point cloud capture and transmission are the fundamental enablers for
immersive visual communication. The coding process of dynamic point clouds, especially …
immersive visual communication. The coding process of dynamic point clouds, especially …
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 …
Attribute artifacts removal for geometry-based point cloud compression
Geometry-based point cloud compression (G-PCC) can achieve remarkable compression
efficiency for point clouds. However, it still leads to serious attribute compression artifacts …
efficiency for point clouds. However, it still leads to serious attribute compression artifacts …
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 …
Bit stream structure for compressed point cloud data
A system comprises an encoder configured to compress attribute information and/or spatial
information for a point cloud and/or a decoder configured to decompress compressed …
information for a point cloud and/or a decoder configured to decompress compressed …
Adaptive distance based point cloud compression
A system comprises an encoder configured to compress attribute information for a point
cloud and/or a decoder configured to decompress compressed attribute for the point cloud …
cloud and/or a decoder configured to decompress compressed attribute for the point cloud …
Perceptually weighted rate distortion optimization for video-based point cloud compression
Y Zhang, K Ding, N Li, H Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic point cloud is a volumetric visual data representing realistic 3D scenes for virtual
reality and augmented reality applications. However, its large data volume has been the …
reality and augmented reality applications. However, its large data volume has been the …