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Image Quality Assessment

Papers

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Showing 701–732 of 732 papers

TitleStatusHype
On color image quality assessment using natural image statistics—0
On the Applicability of Synthetic Data for Face Recognition—0
On the Use of Deep Learning for Blind Image Quality Assessment—0
Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications—0
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning—0
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion—0
Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition—0
Patch-wise Features for Blur Image Classification—0
PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition—0
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment—0
Perceptual Constancy Constrained Single Opinion Score Calibration for Image Quality Assessment—0
Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images—0
Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment—0
Perceptual Image Compression with Cooperative Cross-Modal Side Information—0
Perceptual Image Quality Assessment through Spectral Analysis of Error Representations—0
Perceptual Image Restoration with High-Quality Priori and Degradation Learning—0
Perceptual Quality Assessment for Fine-Grained Compressed Images—0
Perceptual Quality Assessment for Video Frame Interpolation—0
Perceptual Quality Assessment of Omnidirectional Images—0
PerSIM: Multi-resolution Image Quality Assessment in the Perceptually Uniform Color Domain—0
Photo Rater: Photographs Auto-Selector with Deep Learning—0
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration—0
Pixel-by-pixel Mean Opinion Score (pMOS) for No-Reference Image Quality Assessment—0
Progressive Feature Fusion Network for Enhancing Image Quality Assessment—0
Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model—0
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models—0
Quality Assessment for Comparing Image Enhancement Algorithms—0
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports—0
Quality-aware Pre-trained Models for Blind Image Quality Assessment—0
Quality-aware Unpaired Image-to-Image Translation—0
Quality Modeling Under A Relaxed Natural Scene Statistics Model—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
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All datasetsMSU NR VQA DatabaseKonIQ-10kMSU FR VQA Database

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPAQ MT-SSRCC0.88—Unverified
2SPAQ BLSRCC0.88—Unverified
3SPAQ MT-ASRCC0.88—Unverified
4KonCept512SRCC0.84—Unverified
5MEONSRCC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1RealQASRCC0.95—Unverified
2OneAlignSRCC0.94—Unverified
3UNIQASRCC0.93—Unverified
4KonCept512SRCC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FSIMSRCC0.9—Unverified
2DSSSRCC0.9—Unverified
3MS-GMSDSRCC0.89—Unverified
4GMSDSRCC0.89—Unverified