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Video Quality Assessment

Video Quality Assessment is a computer vision task aiming to mimic video-based human subjective perception. The goal is to produce a mos score, where higher score indicates better perceptual quality. Some well-known benchmarks for this task are KoNViD-1k, LIVE-VQC, YouTube-UGC and LSVQ. SROCC/PLCC/RMSE are usually used to evaluate the performance of different models.

Papers

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Showing 51–100 of 216 papers

TitleStatusHype
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion PerceptionCode1
Modular Blind Video Quality AssessmentCode1
Delving Deep into Engagement Prediction of Short VideosCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
A Deep Learning based No-reference Quality Assessment Model for UGC VideosCode1
Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective MethodCode1
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentCode1
ChipQA: No-Reference Video Quality Prediction via Space-Time ChipsCode1
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and ResultsCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera VideosCode1
StableVQA: A Deep No-Reference Quality Assessment Model for Video StabilityCode1
Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity CriterionCode1
2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC VideosCode1
A crowdsourcing approach to video quality assessmentCode1
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality ModelsCode1
Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality AssessmentCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
FAVER: Blind Quality Prediction of Variable Frame Rate VideosCode1
THQA: A Perceptual Quality Assessment Database for Talking HeadsCode1
Patch-VQ: 'Patching Up' the Video Quality ProblemCode1
Enhancing VMAF through New Feature Integration and Model Combination—0
BVI-UGC: A Video Quality Database for User-Generated Content Transcoding—0
Bridging Video Quality Scoring and Justification via Large Multimodal Models—0
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment—0
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment—0
Blind Video Quality Assessment at the Edge—0
3D Video Quality Assessment—0
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment—0
MVAD: A Multiple Visual Artifact Detector for Video Streaming—0
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor—0
RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training—0
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network—0
Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study—0
Deep Priors for Video Quality Prediction—0
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE—0
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment—0
Making Video Quality Assessment Models Robust to Bit Depth—0
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation—0
MRET: Multi-resolution Transformer for Video Quality Assessment—0
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model—0
Improving precision of objective image/video quality metrics—0
DCVQE: A Hierarchical Transformer for Video Quality Assessment—0
Image quality prediction using synthetic and natural codebooks: comparative results—0
Audio-Visual Quality Assessment for User Generated Content: Database and Method—0
Image quality assessment: from error visibility to structural similarity—0
CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment—0
Image information and visual quality—0
HVS Revisited: A Comprehensive Video Quality Assessment Framework—0
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All datasetsMSU SR-QA DatasetKoNViD-1kMSU NR VQA DatabaseLIVE-VQCMSU FR VQA DatabaseYouTube-UGCLIVE-FB LSVQLIVE-ETRILIVE LivestreamLIVE-YT-HFR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PieAPPSROCC0.75—Unverified
2Q-Align (IQA)SROCC0.75—Unverified
3Q-Align (VQA)SROCC0.72—Unverified
4PaQ-2-PiQSROCC0.71—Unverified
5DBCNNSROCC0.69—Unverified
6MUSIQ trained on PaQ-2-PiQSROCC0.68—Unverified
7Ma-MetricSROCC0.67—Unverified
8MANIQASROCC0.67—Unverified
9ClipIQA+ ResNet50SROCC0.66—Unverified
10MUSIQ trained on SPAQSROCC0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1DOVER (end-to-end)PLCC0.91—Unverified
2FasterVQA (fine-tuned)PLCC0.9—Unverified
3DOVER (head-only)PLCC0.89—Unverified
4FAST-VQA (finetuned on KonViD-1k)PLCC0.89—Unverified
5ReLaX-VQA (finetuned on KoNViD-1k)PLCC0.87—Unverified
6SimpleVQAPLCC0.86—Unverified
7DisCoVQAPLCC0.86—Unverified
8HVS-5MPLCC0.86—Unverified
9FAST-VQA (trained on LSVQ only)PLCC0.86—Unverified
10CONVIQTPLCC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1MDTVSFASRCC0.93—Unverified
2DBCNNSRCC0.92—Unverified
3UNIQUESRCC0.91—Unverified
4LISRCC0.91—Unverified
5LINEARITYSRCC0.91—Unverified
6VSFASRCC0.9—Unverified
7MUSIQSRCC0.9—Unverified
8DOVERSRCC0.89—Unverified
9SPAQ MT-SSRCC0.88—Unverified
10SPAQ BLSRCC0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLaX-VQA (finetuned on LIVE-VQC)PLCC0.89—Unverified
2DOVER (end-to-end)PLCC0.87—Unverified
3DOVER (head-only)PLCC0.86—Unverified
4FAST-VQA (finetuned on LIVE-VQC)PLCC0.86—Unverified
5FasterVQA (fine-tuned)PLCC0.86—Unverified
6FAST-VQA (trained on LSVQ only)PLCC0.84—Unverified
7DisCoVQAPLCC0.84—Unverified
8HVS-5MPLCC0.84—Unverified
9BVQA-2022PLCC0.84—Unverified
102BiVQAPLCC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1VMAF Y (v063)SRCC0.94—Unverified
2VMAF Y (v061)SRCC0.94—Unverified
3VMAF Y (v062)SRCC0.94—Unverified
4AHIQSRCC0.94—Unverified
5VMAF Y (v061_neg)SRCC0.91—Unverified
6VIFpSRCC0.91—Unverified
7VSISRCC0.91—Unverified
8MS-SSIMSRCC0.9—Unverified
9SR-SIMSRCC0.9—Unverified
10FSIMSRCC0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DOVER (end-to-end)PLCC0.87—Unverified
2ReLaX-VQA (finetuned on YouTube-UGC)PLCC0.87—Unverified
3DOVER (head-only)PLCC0.86—Unverified
4FasterVQA (fine-tuned)PLCC0.86—Unverified
5SimpleVQAPLCC0.86—Unverified
6FAST-VQA (finetuned on YouTube-UGC)PLCC0.85—Unverified
7HVS-5MPLCC0.85—Unverified
8ReLaX-VQA (trained on LSVQ only)PLCC0.84—Unverified
9CONVIQTPLCC0.82—Unverified
10ReLaX-VQAPLCC0.82—Unverified
#ModelMetricClaimedVerifiedStatus
1OneAlign + FAST-VQAPLCC0.9—Unverified
2DOVERPLCC0.89—Unverified
3OneAlignPLCC0.89—Unverified
4FAST-VQAPLCC0.88—Unverified
5FasterVQAPLCC0.87—Unverified
6HVS-5MPLCC0.87—Unverified
7SimpleVQAPLCC0.86—Unverified
8BVQA-2022PLCC0.85—Unverified
9DisCoVQAPLCC0.85—Unverified
10PVQPLCC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1CONVIQTSRCC0.94—Unverified
2CONTRIQUESRCC0.93—Unverified
3ChipQASRCC0.63—Unverified
4VBLIINDSSRCC0.48—Unverified
5ChipQA-0SRCC0.4—Unverified
6BRISQUESRCC0.27—Unverified
7TLVQMSRCC0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1ChipQASRCC0.76—Unverified
2ChipQA-0SRCC0.75—Unverified
3TLVQMSRCC0.75—Unverified
4RAPIQUESRCC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-GREEDSRCC0.88—Unverified
2GREED-VMAFSRCC0.87—Unverified
3GSTISRCC0.81—Unverified