Metaverse is a virtual world that maps and interacts with the real world. It is a digital living
space with a new social system created through Virtual Reality (VR), Augmented Reality …

Due to the increased popularity of augmented and virtual reality experiences, the interest in
capturing the real world in multiple dimensions and in presenting it to users in an immersible …

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

In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for
both static and dynamic point cloud compression. Taking advantages of both octree based …

Point cloud is emerged as a promising media format to represent realistic 3D objects or
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …

In rate-distortion optimization, the encoder settings are determined by maximizing a
reconstruction quality measure subject to a constraint on the bitrate. One of the main …

Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …

3D point clouds have found a wide variety of applications in multimedia processing, remote
sensing, and scientific computing. Although most point cloud processing systems are …

Problems such as equipment defects or limited viewpoints will lead the captured point
clouds to be incomplete. Therefore, recovering the complete point clouds from the partial …

3D point clouds constitute an emerging multimedia content, now used in a wide range of
applications. The main drawback of this representation is the size of the data since typical …