Video quality assessment (VQA) is a challenging problem due to the numerous factors that
can affect the perceptual quality of a video eg content attractiveness distortion type motion …

While recent advancements in large multimodal models (LMMs) have significantly improved
their abilities in image quality assessment (IQA) relying on absolute quality rating, how to …

Measuring the perceptual quality of images automatically is an essential task in the area of
computer vision, as degradations on image quality can exist in many processes from image …

Nowadays neural-network-based image-and video-quality metrics show better performance
compared to traditional methods. However, they also became more vulnerable to …

No-Reference point cloud quality assessment (NR-PCQA) is a challenging task in computer
vision due to the irregularity of point cloud structures and the unavailability of reference …

Super-Resolution (SR) algorithms aim to enhance the resolutions of images. Massive deep-
learning-based SR techniques have emerged in recent years. In such case, a visually …

Existing no reference image quality assessment (NR-IQA) methods have not incorporated
image semantics explicitly in the assessment process, thus overlooking the significant …

A novel unsupervised blind image quality assessment (BIQA) method, which requires no
mean opinion scores for model training is presented in this paper. The method employs joint …

No‐reference image quality assessment (NR‐IQA) has garnered significant attention due to
its critical role in various image processing applications. This survey provides a …

In the field of Image Quality Assessment (IQA), the adversarial robustness of the metrics
poses a critical concern. This paper presents a comprehensive benchmarking study of …