NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Deep portrait quality assessment. a NTIRE 2024 challenge survey
This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge highlighting the
proposed solutions and results. This challenge aims to obtain an efficient deep neural …
proposed solutions and results. This challenge aims to obtain an efficient deep neural …
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 …
Agiqa-3k: An open database for ai-generated image quality assessment
With the rapid advancements of the text-to-image generative model, AI-generated images
(AGIs) have been widely applied to entertainment, education, social media, etc. However …
(AGIs) have been widely applied to entertainment, education, social media, etc. However …
Topiq: A top-down approach from semantics to distortions for image quality assessment
Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …
remarkable progress with deep neural networks. Inspired by the characteristics of the human …
Towards explainable in-the-wild video quality assessment: a database and a language-prompted approach
The proliferation of in-the-wild videos has greatly expanded the Video Quality Assessment
(VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on …
(VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on …
Q-align: Teaching lmms for visual scoring via discrete text-defined levels
The explosion of visual content available online underscores the requirement for an
accurate machine assessor to robustly evaluate scores across diverse types of visual …
accurate machine assessor to robustly evaluate scores across diverse types of visual …
Towards open-ended visual quality comparison
Comparative settings (eg pairwise choice, listwise ranking) have been adopted by a wide
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …
Depicting beyond scores: Advancing image quality assessment through multi-modal language models
We introduce a Depicted image Quality Assessment method (DepictQA), overcoming the
constraints of traditional score-based approaches. DepictQA leverages Multi-modal Large …
constraints of traditional score-based approaches. DepictQA leverages Multi-modal Large …
Opinion unaware image quality assessment via adversarial convolutional variational autoencoder
A Shukla, A Upadhyay, S Bhugra… - Proceedings of the …, 2024 - openaccess.thecvf.com
Image quality assessment is a challenging computer vision task due to the lack of
corresponding reference (pristine) images. This no-reference bottleneck has been tackled …
corresponding reference (pristine) images. This no-reference bottleneck has been tackled …