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Video Quality Assessment
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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.
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Delving Deep into Engagement Prediction of Short Videos
Revisiting Video Quality Assessment from the Perspective of Generalization
Advancing Video Quality Assessment for AIGC
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality
BVI-UGC: A Video Quality Database for User-Generated Content Transcoding
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy
Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
CLIPVQA:Video Quality Assessment via CLIP
Priorformer: A UGC-VQA Method with content and distortion priors
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
MVAD: A Multiple Visual Artifact Detector for Video Streaming
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Dual-Branch Network for Portrait Image Quality Assessment
RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content
Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
THQA: A Perceptual Quality Assessment Database for Talking Heads
Study of the effect of Sharpness on Blind Video Quality Assessment
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Modular Blind Video Quality Assessment
KVQ: Kwai Video Quality Assessment for Short-form Videos
Perceptual Video Quality Assessment: A Survey
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
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