Awesome Image Quality Assessment (IQA)

A comprehensive collection of IQA papers, datasets and codes. We also provide PyTorch implementations of mainstream metrics in IQA-PyTorch

Awesome Image Quality Assessment (IQA)
- Papers
- Datasets
  - IQA datasets
  - Perceptual similarity datasets

Related Resources:

Awesome Image Aesthetic Assessment and Cropping. A curated list of resources including papers, datasets, and relevant links to aesthetic evaluation and cropping.

Papers

No Reference (NR)

[AAAI2023] Exploring CLIP for Assessing the Look and Feel of Images, Wang et al. Github | Bibtex
[TPAMI2022] Continual Learning for Blind Image Quality Assessment , Zhang et al. Github | Bibtex
[TIP2022] VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment, Pan et al. Github | Bibtex
[TMM2022] GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment, Sun et al. Github | Bibtex
[CVPR2021] Troubleshooting Blind Image Quality Models in the Wild, Wang et al. Github | Bibtex

Paper Link	Method	Type	Published	Code	Keywords
arXiv	MANIQA	NR	CVPRW2022	Official	Transformer, multi-dimension attention, dual branch
arXiv	TReS	NR	WACV2022	Official	Transformer, relative ranking, self-consistency
pdf	KonIQ++	NR	BMVC2021	Official	Multi-task with distortion prediction
arXiv	MUSIQ	NR	ICCV2021	Official / Pytorch	Multi-scale, transformer, Aspect Ratio Preserved (ARP) resizing
arXiv	CKDN	NR	ICCV2021	Official	Degraded reference, Conditional knowledge distillation (related to HIQA)
pdf	HyperIQA	NR	CVPR2020	Official	Content-aware hyper network
arXiv	Meta-IQA	NR	CVPR2020	Official	Meta-learning
arXiv	GIQA	NR	ECCV2020	Official	Generated image
arXiv	PI	NR	2018 PIRM Challenge	Project	1/2 * (NIQE + (10 - NRQM)).
arXiv	HIQA	NR	CVPR2018	Project	Hallucinated reference
arXiv	BPSQM	NR	CVPR2018		Pixel-wise quality map
arXiv	RankIQA	NR	ICCV2017	Github	Pretrain on synthetically ranked data
pdf	CNNIQA	NR	CVPR2014	PyTorch	First CNN-based NR-IQA

arXiv	UNIQUE	NR	TIP2021	Github	Combine synthetic and authentic image pairs
arXiv	DBCNN	NR	TCSVT2020	Official	Two branches for synthetic and authentic distortions
pdf	SFA	NR	TMM2019	Official	Aggregate ResNet50 features of multiple cropped patches
pdf/arXiv	PQR	NR/Aesthetic	TIP2019	Official1/Official2	Unify different type of aesthetic labels
arXiv	WaDIQaM (deepIQA)	NR/FR	TIP2018	PyTorch	Weighted average of patch qualities, shared FR/NR models
pdf	NIMA	NR	TIP2018	PyTorch/Tensorflow	Squared EMD loss
pdf	MEON	NR	TIP2017		Multi-task: distortion learning and quality prediction
arXiv	dipIQ	NR	TIP2017	download	Similar to RankIQA

arXiv	NRQM (Ma)	NR	CVIU2017	Project	Traditional, Super resolution
arXiv	FRIQUEE	NR	JoV2017	Official	Authentically Distorted, Bag of Features
IEEE	HOSA	NR	TIP2016	Matlab download	Traditional
pdf	ILNIQE	NR	TIP2015	Official	Traditional
pdf	BRISQUE	NR	TIP2012	Official	Traditional
pdf	BLIINDS-II	NR	TIP2012	Official
pdf	CORNIA	NR	CVPR2012	Matlab download	Codebook Representation
pdf	NIQE	NR	SPL2012	Official	Traditional
pdf	DIIVINE	NR	TIP2011	Official

Full Reference (FR)

[ECCV2022] Shift-tolerant Perceptual Similarity Metric, Ghildyal et al. Github | Bibtex
[BMVC2022] Content-Diverse Comparisons improve IQA, Thong et al. Bibtex
[ACM MM2022] Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity, Zhou et al. Github | Bibtex

Paper Link	Method	Type	Published	Code	Keywords
arXiv	AHIQ	FR	CVPR2022 NTIRE workshop	Official	Attention, Transformer
arXiv	JSPL	FR	CVPR2022	Official	semi-supervised and positive-unlabeled (PU) learning
arXiv	CVRKD	NAR	AAAI2022	Official	Non-Aligned content reference, knowledge distillation
arXiv	IQT	FR	CVPRW2021	PyTorch	Transformer
arXiv	A-DISTS	FR	ACMM2021	Official
arXiv	DISTS	FR	TPAMI2021	Official
arXiv	LPIPS	FR	CVPR2018	Project	Perceptual similarity, Pairwise Preference
arXiv	PieAPP	FR	CVPR2018	Project	Perceptual similarity, Pairwise Preference
arXiv	WaDIQaM	NR/FR	TIP2018	Official
arXiv	JND-SalCAR	FR	TCSVT2020		JND (Just-Noticeable-Difference)

pdf	QADS	FR	TIP2019	Project	Super-resolution
pdf	FSIM	FR	TIP2011	Project	Traditional
pdf	VIF/IFC	FR	TIP2006	Project	Traditional
pdf	MS-SSIM	FR		Project	Traditional
pdf	SSIM	FR	TIP2004	Project	Traditional
	PSNR	FR			Traditional

Others

Title	Method	Published	Code	Keywords
arXiv	NiNLoss	ACMM2020	Official	Norm-in-Norm Loss

Datasets

IQA datasets

Paper Link	Dataset Name	Type	Published	Website	Images	Annotations
arXiv	PaQ-2-PiQ	NR	CVPR2020	Official github	40k, 120k patches	4M
CVF	SPAQ	NR	CVPR2020	Offical github	11k (smartphone)
arXiv	KonIQ-10k	NR	TIP2020	Project	10k from YFCC100M	1.2M
arXiv	CLIVE	NR	TIP2016	Project	1200	350k
pdf	AVA	NR / Aesthentic	CVPR2012	Github/Project	250k (60 categories)
arXiv	PIPAL	FR	ECCV2020	Project	250	1.13M
arXiv	KADIS-700k	FR	arXiv	Project	140k pristine / 700k distorted	30 ratings (DCRs) per image.
IEEE	KADID-10k	FR	QoMEX2019	Project	81	10k distortions
pdf	Waterloo-Exp	FR	TIP2017	Project	4744	94k distortions
pdf	MDID	FR	PR2017	---	20	1600 distortions
pdf	TID2013	FR	SP2015	Project	25	3000 distortions
pdf	LIVEMD	FR	ACSSC2012	Project	15 pristine images	two successive distortions
pdf	CSIQ	FR	Journal of Electronic Imaging 2010	---	30	866 distortions
pdf	TID2008	FR	2009	Project	25	1700 distortions
pdf	LIVE IQA	FR	TIP2006	Project	29 images, 780 synthetic distortions
link	IVC	FR	2005	---	10	185 distortions

Perceptual similarity datasets

Paper Title	Dataset Name	Type	Published	Website	Images	Annotations
arXiv	BAPPS(LPIPS)	FR	CVPR2018	Project	187.7k	484k
arXiv	PieAPP	FR	CVPR2018	Project	200 images	2.3M

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Awesome Image Quality Assessment (IQA)

Papers

No Reference (NR)

Full Reference (FR)

Others

Datasets

IQA datasets

Perceptual similarity datasets

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