subeeshvasu / Awesome-Image-Quality-Assessment

A comprehensive collection of IQA papers

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
    • No Reference (NR)
    • Full Reference (FR)
    • Image Aesthetic Assessment
    • Others
  • 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)

• [CVPR2023] Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild, Saha et al. Bibtex
• [CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective, Zhang et al. Github | Bibtex
• [CVPR2023] Quality-aware Pre-trained Models for Blind Image Quality Assessment, Zhao et al. Bibtex
• [AAAI2023] Exploring CLIP for Assessing the Look and Feel of Images, Wang et al. Github | Bibtex
• [AAAI2023] Data-Efficient Image Quality Assessment with Attention-Panel Decoder, Qin et al. Github | Bibtex

Paper Link	Method	Type	Published	Code	Keywords
arXiv		NR	TIP2022	Official	VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment
arXiv		NR	TMM2022	Official	GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
arXiv		NR	TPAMI2022	Official	Continual Learning for Blind Image Quality Assessment
arXiv	NRIQA	NR	2022	Official	Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
arXiv	CONTRIQUE	NR	TIP2022		Image quality assessment using contrastive learning
arXiv	MANIQA	NR	CVPRW2022	Official	Transformer, multi-dimension attention, dual branch
arXiv		NR	WACV2022		Image Quality Assessment using Synthetic Images
arXiv	TReS	NR	WACV2022	Official	Transformer, relative ranking, self-consistency: No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
pdf	TRIQ	NR	ICIP2021	Tf	Transformer for image quality assessment
pdf		NR	2021	Tf	A strong baseline for image and video quality assessment
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)
arXiv		NR	ICASSP2021		Regression or classification? New methods to evaluate no-reference picture and video quality models
pdf		NR	CVPR2021		git
pdf		NR	Arxiv2020		No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
pdf		NR	Arxiv2020		No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion
pdf		NR	TCSVT2020	Pytorch	Blind image quality assessment using a deep bilinear convolutional neural network
pdf	HyperIQA	NR	CVPR2020	Official	Content-aware hyper network
arXiv	Meta-IQA	NR	CVPR2020	Official	Meta-learning
arXiv	PaQ-2-PiQ	NR	CVPR2020	Official	From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
arXiv	GIQA	NR	ECCV2020	Official	Generated image
arXiv		NR	Access2020		Blind image quality assessment for super resolution via optimal feature selection
arXiv		NR	TPAMI2019		Exploiting unlabeled data in cnns by self-supervised learning to rank
arXiv		NR	TIP2019		Quality measurement of images on mobile streaming interfaces deployed at scale
arXiv		NR	ICASSP2019		Optimal feature selection for blind super-resolution image quality evaluation
arXiv	PI	NR	2018 PIRM Challenge	Project	1/2 * (NIQE + (10 - NRQM)).
arXiv		NR	ICIP2018		Blind image quality assessment with a probabilistic quality representation
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
arXiv		NR	2017		A probabilistic quality representation approach to deep blind image quality prediction
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
pdf		NR	ICASSP2018		Second order natural scene statistics model of blind image quality assessment
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	SSEQ	NR	SPIC2014	Matlab	Trad: No-reference image quality assessment based on spatial and spectral entropies
pdf		NR	TOG2013		A No-Reference Metric for Evaluating the Quality of Motion Deblurring
pdf		NR	CVPR2013	Matlab	Learning without human scores for blind image quality assessment
pdf	BRISQUE	NR	TIP2012	Official	Traditional
pdf	BLIINDS-II	NR	TIP2012	Official	Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
pdf	CORNIA	NR	CVPR2012	Matlab download	Codebook Representation
pdf	NIQE	NR	SPL2012	Official	Traditional
pdf	DIIVINE	NR	TIP2011	Official
pdf	BIQI	NR	SPL2010	Matlab	Trad: A Two-Step Framework for Constructing Blind Image Quality Indices
pdf		NR	SPL2010		Trad: A DCT statistics-based blind image quality index
pdf		NR	SP2008		Trad: No-reference image quality assessment based on DCT domain statistics

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	FR	TIP2006	Project	Traditional
pdf	IFC	FR	TIP2005	Project	Traditional
pdf	MS-SSIM	FR		Project	Traditional
pdf	SSIM	FR	TIP2004	Project	Traditional
	PSNR	FR			Traditional

Image Aesthetic Assessment

• [CVPR2023] VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining, Ke et al. Bibtex
• [CVPR2023] Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method, Yi et al. Github | Bibtex

Others

Title	Method	Published	Code	Keywords
arXiv	NiNLoss	ACMM2020	Official	Norm-in-Norm Loss
arXiv			Pytorch-Code	How to evaluate IQ metrics

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