Blind or No reference quality evaluation is a challenging issue since it is done without
access to the original content. In this work, we propose a method based on deep learning for …

Over the past decade, three-dimensional (3D) graphics have become highly detailed to
mimic the real world, exploding their size and complexity. Certain applications and device …

Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in
3D with users consuming the content from any viewpoint they desire. This makes VV best …

A number of full reference and reduced reference methods have been proposed in order to
estimate the perceived visual quality of 3D meshes. However, in most practical situations …

Despite acceleration in the use of 3D meshes, it is difficult to find effective mesh quality
assessment algorithms that can produce predictions highly correlated with human subjective …

This paper proposes a new method for blind mesh visual quality assessment (MVQA) based
on a graph convolutional network. For that, we address the node classification problem to …

In this work, we propose a convolutional neural network (CNN) framework to estimate the
perceived visual quality of 3D meshes without having access to the reference. The proposed …

Virtual and augmented reality digital twins are becoming increasingly prevalent in a number
of industries, though the production of digital-twin systems applications is still prohibitively …

Various visual distortions can inevitably affect the 3D meshes during their transmission and
geometrical processing. In most practical cases, blind quality assessment becomes a …

To decide whether the perceived quality of a mesh is influenced by a certain modification
such as compression or simplification, a metric for estimating the visual quality of 3D meshes …