When developing technologies for the Metaverse, it is important to understand the needs
and requirements of end users. Relatively little is known about the specific perspectives on …

With the rapid advancement of three-dimensional (3D) sensing technology, point cloud has
emerged as one of the most important approaches for representing 3D data. However …

Point cloud perceptual quality assessment plays a critical role in many applications,
including compression and communication. We propose PKT-PCQA, a point-based no …

We present PU-Mask, a virtual mask-based network for 3D point cloud upsampling. Unlike
existing upsampling methods, which treat point cloud upsampling as an “unconstrained …

The demand for high-resolution point clouds has increased throughout the last years.
However, capturing high-resolution point clouds is expensive and thus, frequently replaced …

Point cloud upsampling is essential for high-quality augmented reality, virtual reality, and
telepresence applications, due to the capture, processing, and communication limitations of …

With the increasing demand of capturing our environment in three-dimensions for AR/VR
applications and autonomous driving among others, the importance of high-resolution point …

Visual information can be captured in both 2D and 3D formats. For example, an image is a
2D representation while a point cloud is a 3D representation. A sequence of images …

Neural networks became the standard technique for image classification throughout the last
years. They are extracting image features from a large number of images in a training phase …