Transformer-based no-reference image quality assessment via supervised contrastive learning
Image Quality Assessment (IQA) has long been a research hotspot in the field of image
processing, especially No-Reference Image Quality Assessment (NR-IQA). Due to the …
processing, especially No-Reference Image Quality Assessment (NR-IQA). Due to the …
Tier: Text and image encoder-based regression for aigc image quality assessment
J Yuan, X Cao, J Che, Q Wang, S Liang, W Ren… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, AIGC image quality assessment (AIGCIQA), which aims to assess the quality of AI-
generated images from a human perception perspective, has emerged as a new topic in …
generated images from a human perception perspective, has emerged as a new topic in …
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method
The amount of face images has been witnessing an explosive increase in the last decade,
where various distortions inevitably exist on transmitted or stored face images. The …
where various distortions inevitably exist on transmitted or stored face images. The …
Evaluation of Mosaic Image Quality and Analysis of Influencing Factors Based on UAVs
X Du, L Zheng, J Zhu, H Cen, Y He - Drones, 2024 - mdpi.com
With the growing prominence of UAV-based low-altitude remote sensing in agriculture, the
acquisition and processing of high-quality UAV remote sensing images is paramount. The …
acquisition and processing of high-quality UAV remote sensing images is paramount. The …
REQA: Coarse-to-fine assessment of image quality to alleviate the range effect
B Li, F Huo - Journal of Visual Communication and Image …, 2024 - Elsevier
Blind image quality assessment (BIQA) of User Generated Content (UGC) suffers from the
range effect, which indicates that on the overall quality range, mean opinion score (MOS) …
range effect, which indicates that on the overall quality range, mean opinion score (MOS) …
SGIQA: Semantic-Guided No-Reference Image Quality Assessment
L Pan, X Zhang, F Xie, H Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Existing no reference image quality assessment (NR-IQA) methods have not incorporated
image semantics explicitly in the assessment process, thus overlooking the significant …
image semantics explicitly in the assessment process, thus overlooking the significant …
Learning degradation priors for reliable no-reference image quality assessment
Abstract The goal of No-Reference Image Quality Assessment (NR-IQA) is to endow
computers with a human-like ability to evaluate an image's quality without comparison to a …
computers with a human-like ability to evaluate an image's quality without comparison to a …
Dual-Criterion Quality Loss for Blind Image Quality Assessment
D Yuan, L Wang - ACM Multimedia 2024, 2024 - openreview.net
This paper introduces a novel approach to Image Quality Assessment (IQA) by presenting a
new loss function, Dual-Criterion Quality (DCQ) Loss, which integrates the Mean Squared …
new loss function, Dual-Criterion Quality (DCQ) Loss, which integrates the Mean Squared …
A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction
In our digitally driven society, advances in software and hardware to capture video data
allow extensive gathering and analysis of large datasets. This has stimulated interest in …
allow extensive gathering and analysis of large datasets. This has stimulated interest in …
PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images
J Yuan, F Yang, J Li, X Cao, J Che, J Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, image generation technology has rapidly advanced, resulting in the creation
of a vast array of AI-generated images (AIGIs). However, the quality of these AIGIs is highly …
of a vast array of AI-generated images (AIGIs). However, the quality of these AIGIs is highly …