③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
[ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
A video quality MOS prediction model for videoconferencing calls that takes temporal distortions into account
[ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.
2BiVQA is a no-reference deep learning based video quality assessment metric.
Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
Fast Blind Natural Video Quality (V-BLIINDS)
Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
👆PyTorch Implementation of JEDi Metric described in "Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality"
Official implementation for "ST-GREED: Space-Time Generalized EntropicDifferences for Frame Rate Dependent VideoQuality"
[IEEE PCS'2022] "FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation", Duolikun Danier, Fan Zhang, David Bull
Official Implementation of WACV 2024 Paper "HIDRO-VQA : High Dynamic Range Oracle for Video Quality Assessment"
Analysis of video quality datasets via design of minimalistic video quality models
Implementation of ChipQA (https://ieeexplore.ieee.org/document/9540785)
Best Practices for Initializing Image and Video Quality Assessment Models
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