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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
A Deep Learning based No-reference Quality Assessment Model for UGC VideosCode1
CONVIQT: Contrastive Video Quality EstimatorCode1
Delving Deep into Engagement Prediction of Short VideosCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
Modular Blind Video Quality AssessmentCode1
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingCode1
Dual-Branch Network for Portrait Image Quality AssessmentCode1
ChipQA: No-Reference Video Quality Prediction via Space-Time ChipsCode1
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video EnhancementCode1
Towards Deep Learning Models Resistant to Adversarial AttacksCode1
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
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language GuidanceCode1
StableVQA: A Deep No-Reference Quality Assessment Model for Video StabilityCode1
Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity CriterionCode1
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
Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted ApproachCode1
FAVER: Blind Quality Prediction of Variable Frame Rate VideosCode1
Image Quality Assessment: Unifying Structure and Texture SimilarityCode1
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live VideosCode1
A Neural Network based Framework for Effective Laparoscopic Video Quality AssessmentCode0
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-SupervisionCode0
Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual RealityCode0
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality AssessmentCode0
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and ResultsCode0
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
TINQ: Temporal Inconsistency Guided Blind Video Quality AssessmentCode0
Blind Prediction of Natural Video QualityCode0
Study on the Assessment of the Quality of Experience of Streaming VideoCode0
Subjective and Objective Audio-Visual Quality Assessment for User Generated ContentCode0
StarVQA+: Co-training Space-Time Attention for Video Quality AssessmentCode0
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified ModelCode0
StarVQA: Space-Time Attention for Video Quality AssessmentCode0
Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated VideosCode0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
DDH-QA: A Dynamic Digital Humans Quality Assessment DatabaseCode0
Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-BitratesCode0
Perceptual Quality Assessment of Virtual Reality Videos in the WildCode0
Revisiting Video Quality Assessment from the Perspective of GeneralizationCode0
Cross-Modal Transferable Image-to-Video Attack on Video Quality MetricsCode0
Critical analysis on the reproducibility of visual quality assessment using deep featuresCode0
PieAPP: Perceptual Image-Error Assessment through Pairwise PreferenceCode0
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality AssessmentCode0
Quality Assessment of In-the-Wild VideosCode0
NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and ResultsCode0
No-Reference Video Quality Assessment Using Space-Time ChipsCode0
GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming ContentCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
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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