This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …

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 …

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 …

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 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 …

Based on increasing availability of capture and display devices dedicated to immersive
media, coding, and transmission of these media has recently become a highest-priority …

The state-of-the-art 2D-based dynamic point cloud (DPC) compression algorithm is the
video-based point cloud compression (V-PCC) developed by the Moving Pictures Experts …

Due to the increased popularity of augmented and virtual reality experiences, the interest in
capturing high-resolution real-world point clouds has never been higher. Loss of details and …

Point clouds have become increasingly prevalent in representing 3D scenes within virtual
environments, alongside 3D meshes. Their ease of capture has facilitated a wide array of …

Volumetric video (VV) pipelines reached a high level of maturity, creating interest to use
such content in interactive visualisation scenarios. VV allows real world content to be …