Perceptual video quality assessment: A survey
Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …
the existence of quality degradations introduced in various stages of video signal …
Maxvit: Multi-axis vision transformer
Transformers have recently gained significant attention in the computer vision community.
However, the lack of scalability of self-attention mechanisms with respect to image size has …
However, the lack of scalability of self-attention mechanisms with respect to image size has …
Quality-aware pre-trained models for blind image quality assessment
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality
of a single image, whose performance has been improved by deep learning-based methods …
of a single image, whose performance has been improved by deep learning-based methods …
AIS 2024 challenge on video quality assessment of user-generated content: Methods and results
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge focused on
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …
Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling
Current deep video quality assessment (VQA) methods are usually with high computational
costs when evaluating high-resolution videos. This cost hinders them from learning better …
costs when evaluating high-resolution videos. This cost hinders them from learning better …
Q-instruct: Improving low-level visual abilities for multi-modality foundation models
Multi-modality large language models (MLLMs) as represented by GPT-4V have introduced
a paradigm shift for visual perception and understanding tasks that a variety of abilities can …
a paradigm shift for visual perception and understanding tasks that a variety of abilities can …
A deep learning based no-reference quality assessment model for ugc videos
Quality assessment for User Generated Content (UGC) videos plays an important role in
ensuring the viewing experience of end-users. Previous UGC video quality assessment …
ensuring the viewing experience of end-users. Previous UGC video quality assessment …
Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
Q-bench: A benchmark for general-purpose foundation models on low-level vision
The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift
in computer vision from specialized models to general-purpose foundation models …
in computer vision from specialized models to general-purpose foundation models …
MD-VQA: Multi-dimensional quality assessment for UGC live videos
User-generated content (UGC) live videos are often bothered by various distortions during
capture procedures and thus exhibit diverse visual qualities. Such source videos are further …
capture procedures and thus exhibit diverse visual qualities. Such source videos are further …