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No-Reference Image Quality Assessment

An Image Quality Assessment approach where no reference image information is available to the model. Sometimes referred to as Blind Image Quality Assessment (BIQA).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 121–130 of 155 papers

Title	Date	Tasks	Status	Hype
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network	Jun 1, 2020	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	1
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild	May 28, 2020	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment	Apr 11, 2020	Image Quality AssessmentMeta-Learning	CodeCode Available	1
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness	Mar 20, 2020	Face Image QualityFace Model	CodeCode Available	1
A CNN-Based Blind Denoising Method for Endoscopic Images	Mar 16, 2020	DenoisingImage Enhancement	CodeCode Available	1
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation	Mar 15, 2020	Image Quality AssessmentNo-Reference Image Quality Assessment	—Unverified	0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality Assessment	Mar 13, 2020	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning	Jan 20, 2020	Image Quality AssessmentMulti-Task Learning	CodeCode Available	0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality	Dec 20, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment	Nov 27, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0

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All datasets KADID-10k CSIQ TID2013 UHD-IQA KonIQ-10k LIVE SPAQ

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	SRCC	0.98	—	Unverified
2	UNIQA	SRCC	0.94	—	Unverified
3	CONTRIQUE	SRCC	0.93	—	Unverified
4	ARNIQA	SRCC	0.91	—	Unverified
5	Re-IQA	SRCC	0.87	—	Unverified
6	TReS	SRCC	0.86	—	Unverified
7	HyperIQA	SRCC	0.85	—	Unverified
8	DB-CNN	SRCC	0.85	—	Unverified
9	BRISQUE	SRCC	0.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.96	—	Unverified
2	ARNIQA	SRCC	0.96	—	Unverified
3	Re-IQA	SRCC	0.95	—	Unverified
4	DB-CNN	SRCC	0.95	—	Unverified
5	CONTRIQUE	SRCC	0.94	—	Unverified
6	HyperIQA	SRCC	0.92	—	Unverified
7	TReS	SRCC	0.92	—	Unverified
8	BRISQUE	SRCC	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.95	—	Unverified
2	ARNIQA	SRCC	0.88	—	Unverified
3	TReS	SRCC	0.86	—	Unverified
4	CONTRIQUE	SRCC	0.84	—	Unverified
5	HyperIQA	SRCC	0.84	—	Unverified
6	DB-CNN	SRCC	0.82	—	Unverified
7	Re-IQA	SRCC	0.8	—	Unverified
8	BRISQUE	SRCC	0.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LAR-IQA (KAN head)	SRCC	0.84	—	Unverified
2	QualiCLIP	SRCC	0.77	—	Unverified
3	CLIP-IQA+	SRCC	0.75	—	Unverified
4	ARNIQA	SRCC	0.74	—	Unverified
5	CONTRIQUE	SRCC	0.73	—	Unverified
6	Effnet-2C-MLSP	SRCC	0.68	—	Unverified
7	HyperIQA	SRCC	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	PLCC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	PLCC	0.93	—	Unverified