Quality assessment in the era of large models: A survey
Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …
garnered significant attention from researchers and has evolved substantially through …
Point cloud quality assessment: Dataset construction and learning-based no-reference metric
Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive
progress in recent years. However, in many cases, obtaining the reference point clouds is …
progress in recent years. However, in many cases, obtaining the reference point clouds is …
Dg-pic: Domain generalized point-in-context learning for point cloud understanding
Recent point cloud understanding research suffers from performance drops on unseen data,
due to the distribution shifts across different domains. While recent studies use Domain …
due to the distribution shifts across different domains. While recent studies use Domain …
Mm-pcqa: Multi-modal learning for no-reference point cloud quality assessment
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …
vision applications are expected to provide cost-effective and high-quality experiences for …
Gpa-net: No-reference point cloud quality assessment with multi-task graph convolutional network
With the rapid development of 3D vision, point cloud has become an increasingly popular
3D visual media content. Due to the irregular structure, point cloud has posed novel …
3D visual media content. Due to the irregular structure, point cloud has posed novel …
Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling
Objective quality assessment of 3D point clouds is essential for the development of
immersive multimedia systems in real-world applications. Despite the success of perceptual …
immersive multimedia systems in real-world applications. Despite the success of perceptual …
New challenges in point cloud visual quality assessment: a systematic review
The compression, transmission and rendering of point clouds is essential for many use
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
Bitstream-based perceptual quality assessment of compressed 3d point clouds
With the increasing demand of compressing and streaming 3D point clouds under
constrained bandwidth, it has become ever more important to accurately and efficiently …
constrained bandwidth, it has become ever more important to accurately and efficiently …
pmbqa: Projection-based blind point cloud quality assessment via multimodal learning
With the increasing communication and storage of point cloud data, there is an urgent need
for an effective objective method to measure the quality before and after processing. To …
for an effective objective method to measure the quality before and after processing. To …
Freqalign: Excavating perception-oriented transferability for blind image quality assessment from a frequency perspective
Blind Image Quality Assessment (BIQA) is susceptible to poor transferability when the
distribution shift occurs, eg, from synthesis degradation to authentic degradation. To mitigate …
distribution shift occurs, eg, from synthesis degradation to authentic degradation. To mitigate …