OpenCodePapers

video-quality-assessment-on-msu-sr-qa-dataset

VideoVideo UnderstandingVideo Quality Assessment
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PaperCodeSROCCPLCCKLCCTypeModelNameReleaseDate
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference✓ Link0.752150.757430.61945FRPieAPP2018-06-06
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels✓ Link0.750880.741160.61677NRQ-Align (IQA)2023-12-28
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels✓ Link0.718120.711210.58634NRQ-Align (VQA)2023-12-28
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality✓ Link0.711670.709880.57753NRPaQ-2-PiQ2019-12-20
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network✓ Link0.686210.639710.55139NRDBCNN2019-07-05
MUSIQ: Multi-scale Image Quality Transformer✓ Link0.677460.665310.55312NRMUSIQ trained on PaQ-2-PiQ2021-08-12
Learning a No-Reference Quality Metric for Single-Image Super-Resolution✓ Link0.673620.653570.52301NRMa-Metric2016-12-18
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment✓ Link0.666130.627330.54744NRMANIQA2022-04-19
Exploring CLIP for Assessing the Look and Feel of Images✓ Link0.657130.651540.52628NRClipIQA+ ResNet502022-07-25
MUSIQ: Multi-scale Image Quality Transformer✓ Link0.649270.602160.52673NRMUSIQ trained on SPAQ2021-08-12
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.649230.609050.53140NRTOPIQ trained on SPAQ (NR)2023-08-06
MUSIQ: Multi-scale Image Quality Transformer✓ Link0.645890.591510.51897NRMUSIQ trained on KONIQ2021-08-12
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment✓ Link0.643820.622040.52172NRLinearity (Norm-in-Norm Loss)2020-08-10
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.627150.576740.50670NRTOPIQ2023-08-06
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency✓ Link0.625780.562260.49004NRTReS trained on KONIQ2021-08-16
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency✓ Link0.624960.562770.48901NRTReS2021-08-16
Exploring CLIP for Assessing the Look and Feel of Images✓ Link0.608080.589440.49417NRClipIQA2022-07-25
[]()0.604680.623110.47674FRAHIQ
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training✓ Link0.601930.618210.48406NRMDTVSFA2020-11-09
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network✓ Link0.598830.552110.48466NRHyperIQA2020-06-01
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.595640.589490.48428NRTOPIQ FACE2023-08-06
ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution✓ Link0.593450.601880.47785FRERQA2021-10-19
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.573410.579550.46217FRTOPIQ2023-08-06
Shift-tolerant Perceptual Similarity Metric✓ Link0.573360.564310.45898FRST-LPIPS (VGG)2022-07-27
Exploring CLIP for Assessing the Look and Feel of Images✓ Link0.568750.718080.69774NRClipIQA+2022-07-25
MUSIQ: Multi-scale Image Quality Transformer✓ Link0.561520.524040.44669NRMUSIQ trained on AVA2021-08-12
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.555680.575640.42811FRTOPIQ trained on PIPAL2023-08-06
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric✓ Link0.544610.523850.43158FRLPIPS (Alex)2018-01-11
Quality Assessment of In-the-Wild Videos✓ Link0.536520.544070.43634NRVSFA2019-08-01
Shift-tolerant Perceptual Similarity Metric✓ Link0.534730.547400.42897FRST-LPIPS (Alex)2022-07-27
Image Quality Assessment: Unifying Structure and Texture Similarity✓ Link0.533460.550420.42320FRDISTS2020-04-16
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric✓ Link0.528680.528200.41471FRLPIPS (VGG)2018-01-11
The 2018 PIRM Challenge on Perceptual Image Super-resolution✓ Link0.523190.531780.39101NRPI2018-09-20
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment0.517170.532890.41261FRA-DISTS2021-10-16
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.516870.510610.40663NRTOPIQ (IAA)2023-08-06
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels✓ Link0.515210.500550.42211NRQ-Align (IAA)2023-12-28
Exploring CLIP for Assessing the Look and Feel of Images✓ Link0.498810.503790.38794NRClipIQA+ ViT-L-142022-07-25
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency✓ Link0.488820.500050.39398NRTReS trained on FLIVE2021-08-16
[]()0.440640.418920.34004NRIL-NIQE
[]()0.432960.397440.32331FRVMAF Legacy
[]()0.432190.400730.32283FRVMAF
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.362040.340000.28473NRTOPIQ + Res50 (IAA)2023-08-06
FSIM: A Feature Similarity Index for Image Quality Assessment0.349960.350830.26942FRFSIM2011-01-31
[]()0.348620.369440.26485FRVIF
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment✓ Link0.340920.339400.26774NRTOPIQ trained on FLIVE2023-08-06
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining✓ Link0.337280.288460.26180NRVILA2023-03-24
[]()0.331670.331690.24254NRNIQE
No-Reference Image Quality Assessment in the Spatial Domain✓ Link0.323270.311430.24803NRBRISQUE2012-08-17
NIMA: Neural Image Assessment✓ Link0.258870.265500.20377NRNIMA2017-09-15
Multiscale structural similarity for image quality assessment✓ Link0.244220.218000.18174FRMS-SSIM Fast2004-05-04
Multiscale structural similarity for image quality assessment✓ Link0.231080.209350.17468FRMS-SSIM Precise2004-05-04
Image quality assessment: from error visibility to structural similarity0.224680.206700.17175FRSSIM2004-04-13
Multiscale structural similarity for image quality assessment✓ Link0.216040.300140.16578FRMS-SSIM Superfast2004-05-04
[]()0.214500.201380.16365FR3SSIM
[]()0.178890.196720.13551FRMSAD
[]()0.164410.094280.12067FRMSE
[]()0.142770.146380.11040FRPSNR over YUV
[]()0.129140.138400.09998FRPSNR over Y
Multiscale structural similarity for image quality assessment✓ Link0.110170.160350.07821FRMS-SSIM2004-05-04
[]()0.107330.109310.08263FRBI PSNR
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