There are 19 repositories under video-quality-assessment topic.
[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
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"
[ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.
A video quality MOS prediction model for videoconferencing calls that takes temporal distortions into account
Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
[NeurIPS'2022] "Video compression dataset and benchmark of learning-based video-quality metrics", A. Antsiferova, S. Lavrushkin, M. Smirnov, A. Gushchin, D. S. Vatolin, and D. Kulikov
Universal Perturbation Attack on differentiable no-reference image- and video-quality metrics
Official Implementation of WACV 2024 Paper "HIDRO-VQA : High Dynamic Range Oracle for Video Quality Assessment"
video quality comparator base on vmaf and ffmpeg
Implementation of ChipQA (https://ieeexplore.ieee.org/document/9540785)
[IEEE TIP'2023] "BVI-VFI: A Video Quality Database for Video Frame Interpolation", Duolikun Danier, Fan Zhang, David Bull
Using attention network to extend image quality assessment algorithms for video quality assessment
Metadata and source code for the APV Low Bitrate High Frame Rate VQA dataset
The code in this repository was a part of a Bachelor thesis project at KTH.
This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".
UGC quality assessment: exploring the impact of saliency in deep feature-based quality assessment
UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment