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Blind Image Quality Assessment

To avoid duplication and fragmentation, use the No-Reference Image Quality Assessment (NR-IQA) task.

Papers

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Showing 1–25 of 46 papers

TitleStatusHype
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentCode1
Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment—0
A Lightweight Parallel Framework for Blind Image Quality Assessment—0
A proposal project for a blind image quality assessment by learning distortions from the full reference image quality assessments—0
Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores—0
BIQ2021: A Large-Scale Blind Image Quality Assessment Database—0
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator—0
Blind Image Quality Assessment: A Brief Survey—0
Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network—0
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment—0
Blind Image Quality Assessment using Semi-supervised Rectifier Networks—0
Blind Multimodal Quality Assessment of Low-light Images—0
Blind Predicting Similar Quality Map for Image Quality Assessment—0
Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention—0
Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment—0
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment—0
Spatial Moment Pooling Improves Neural Image Assessment—0
Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment—0
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image—0
Troubleshooting Blind Image Quality Models in the Wild—0
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment—0
Coupled Learning for Facial Deblur—0
Cross-Dataset-Robust Method for Blind Real-World Image Quality Assessment—0
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation—0
Deep Ensembling for Perceptual Image Quality Assessment—0
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