Nowadays, most three-dimensional model quality assessment (3DQA) methods have been
aimed at improving accuracy. However, little attention has been paid to the computational …

Point clouds offer a novel 3D data representation that has proven pivotal in immersive visual
media applications involving human perception. Develo** objective point cloud quality …

Motivated by the pursuit of efficient salient object detection in remote sensing, researchers
have devoted considerable efforts to devising lightweight models due to low running …

Objective quality assessment of three-dimensional (3D) point clouds is essential for the
development of immersive multimedia systems in real-world applications. Despite the …

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 …

In an era where 3D Digital Humans (DHs) are becoming increasingly prevalent in fields like
gaming, automotive, and the metaverse, the demand for high DH visual quality is rising. This …

Video-based point cloud compression (V-PCC) is a state-of-the-art moving picture experts
group (MPEG) standard for point cloud compression. V-PCC can be used to compress both …

In reviewing the research progress in Point Cloud Quality Assessment (PCQA), two main
pathways have emerged, ie, 2D projections and 3D point descriptors. The former primarily …

The compression, transmission and rendering of point clouds is essential for many use
cases, notably immersive experience settings in eXtended Reality, telepresence and real …

Many underwater image enhancement (UIE) algorithms have been proposed to improve the
quality of the underwater image. However, the lack of effective objective image quality …