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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 71–80 of 155 papers

Title	Date	Tasks	Status	Hype	Score
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance	Nov 26, 2024	DiversityImage Quality Assessment	CodeCode Available	0	5
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images	Oct 18, 2018	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0	5
Fast Adversarial CNN-based Perturbation Attack of No-Reference Image Quality Metrics	Apr 11, 2023	Adversarial AttackNo-Reference Image Quality Assessment	CodeCode Available	0	5
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment	Sep 15, 2022	Image Quality AssessmentIncremental Learning	CodeCode Available	0	5
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	5
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer	Aug 7, 2024	Blind Image Quality AssessmentImage Quality Assessment	CodeCode Available	0	5
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics	May 16, 2023	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0	5
Multi-Modal Prompt Learning on Blind Image Quality Assessment	Apr 23, 2024	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0	5
Multi-pooled Inception features for no-reference image quality assessment	Nov 10, 2020	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0	5
No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features	Jul 30, 2020	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0	5

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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