Blind image quality assessment via vision-language correspondence: A multitask learning perspective
We aim at advancing blind image quality assessment (BIQA), which predicts the human
perception of image quality without any reference information. We develop a general and …
perception of image quality without any reference information. We develop a general and …
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 …
Re-iqa: Unsupervised learning for image quality assessment in the wild
Abstract Automatic Perceptual Image Quality Assessment is a challenging problem that
impacts billions of internet, and social media users daily. To advance research in this field …
impacts billions of internet, and social media users daily. To advance research in this field …
On the effectiveness of spectral discriminators for perceptual quality improvement
Several recent studies advocate the use of spectral discriminators, which evaluate the
Fourier spectra of images for generative modeling. However, the effectiveness of the …
Fourier spectra of images for generative modeling. However, the effectiveness of the …
AIGC-VQA: A Holistic Perception Metric for AIGC Video Quality Assessment
With the development of generative models such as the diffusion model and auto-regressive
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …
Zoom-vqa: Patches, frames and clips integration for video quality assessment
Video quality assessment (VQA) aims to simulate the human perception of video quality,
which is influenced by factors ranging from low-level color and texture details to high-level …
which is influenced by factors ranging from low-level color and texture details to high-level …
Kvq: Kwai video quality assessment for short-form videos
Short-form UGC video platforms like Kwai and TikTok have been an emerging and
irreplaceable mainstream media form thriving on user-friendly engagement and …
irreplaceable mainstream media form thriving on user-friendly engagement and …
Unsupervised blind image quality assessment via joint spatial and transform features
C Yang, Q He, P An - Scientific Reports, 2023 - nature.com
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 …
mean opinion scores for model training is presented in this paper. The method employs joint …
Arniqa: Learning distortion manifold for image quality assessment
Abstract No-Reference Image Quality Assessment (NR-IQA) aims to develop methods to
measure image quality in alignment with human perception without the need for a high …
measure image quality in alignment with human perception without the need for a high …
Semisupervised few-shot remote sensing image classification based on KNN distance entropy
In recent years, remote sensing image processing based on deep learning has been widely
applied in many scenes, but the involved deep learning technology requires large-scale …
applied in many scenes, but the involved deep learning technology requires large-scale …