[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
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Updated
Nov 22, 2022 - Python
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
[ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"
[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
Fast Blind Natural Video Quality (V-BLIINDS)
Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
Analysis of video quality datasets via design of minimalistic video quality models
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