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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 101–150 of 216 papers

TitleStatusHype
NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and ResultsCode0
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
Revisiting Video Quality Assessment from the Perspective of GeneralizationCode0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
StarVQA+: Co-training Space-Time Attention for Video Quality AssessmentCode0
StarVQA: Space-Time Attention for Video Quality AssessmentCode0
Study on the Assessment of the Quality of Experience of Streaming VideoCode0
Subjective and Objective Audio-Visual Quality Assessment for User Generated ContentCode0
Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-BitratesCode0
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
Evaluating Point Cloud from Moving Camera Videos: A No-Reference MetricCode0
Two-Level Approach for No-Reference Consumer Video Quality AssessmentCode0
UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality AssessmentCode0
UNIQUE: Unsupervised Image Quality EstimationCode0
Viewport Proposal CNN for 360deg Video Quality AssessmentCode0
VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingCode0
Visualizing and Understanding Convolutional NetworksCode0
Advancing Video Quality Assessment for AIGC—0
FSIM: A Feature Similarity Index for Image Quality Assessment—0
MVAD: A Multiple Visual Artifact Detector for Video Streaming—0
FOVQA: Blind Foveated Video Quality Assessment—0
FineVQ: Fine-Grained User Generated Content Video Quality Assessment—0
3D Video Quality Assessment—0
No Reference Stereoscopic Video Quality Assessment Using Joint Motion and Depth Statistics—0
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment—0
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild—0
Audio-Visual Quality Assessment for User Generated Content: Database and Method—0
NTIRE 2023 Quality Assessment of Video Enhancement Challenge—0
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment—0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge—0
ESVQA: Perceptual Quality Assessment of Egocentric Spatial Videos—0
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study—0
A survey on IQA—0
Enhancing VMAF through New Feature Integration and Model Combination—0
One Transform To Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment—0
OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization—0
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment—0
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor—0
PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition—0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training—0
Perceptual Quality Assessment of UGC Gaming Videos—0
Perceptual Video Quality Assessment: A Survey—0
VMAF And Variants: Towards A Unified VQA—0
Assessment of Subjective and Objective Quality of Live Streaming Sports Videos—0
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos—0
Priorformer: A UGC-VQA Method with content and distortion priors—0
PRNet: A Progressive Regression Network for No-Reference User-Generated-Content Video Quality Assessment—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