Browse State-of-the-Art › Video Quality Assessment
Video Quality Assessment
116 papers with code · 10 benchmarks · 12 datasets archive 2025-07-28
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.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
10 leaderboard tables shown for this task, 10 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
12 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 116 papers with code (216 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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19 Jun 2017 59 repositories listed Syntology ran 9 of 17 samples · 8 unverified · 13 pointer-only (licence)Its principled nature also enables us to identify methods for both training and attacking neural networks that are reliable and, in a certain sense, universal.
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11 Jan 2018 24 repositories listed Syntology ran 2 of 2 samples · 0 unverifiedWe systematically evaluate deep features across different architectures and tasks and compare them with classic metrics.
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12 Nov 2013 18 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)Large Convolutional Network models have recently demonstrated impressive classification performance on the ImageNet benchmark.
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15 Sep 2017 12 repositories listedAutomatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications such as evaluating image capture pipelines, storage techniques and sharing…
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20 Sep 2018 8 repositories listedThis paper reports on the 2018 PIRM challenge on perceptual super-resolution (SR), held in conjunction with the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018.
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29 May 2020 5 repositories listedRecent years have witnessed an explosion of user-generated content (UGC) videos shared and streamed over the Internet, thanks to the evolution of affordable and reliable consumer capture devices, and the tremendous…
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11 Oct 2022 4 repositories listedOn the other hand, existing practices, such as resizing and cropping, will change the quality of original videos due to the loss of details and contents, and are therefore harmful to quality assessment.
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6 Jul 2022 4 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)Consisting of fragments and FANet, the proposed FrAgment Sample Transformer for VQA (FAST-VQA) enables efficient end-to-end deep VQA and learns effective video-quality-related representations.
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9 Nov 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)In light of this, we propose the Disentangled Objective Video Quality Evaluator (DOVER) to learn the quality of UGC videos based on the two perspectives.
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22 Apr 2022 3 repositories listedImage quality assessment (IQA) algorithm aims to quantify the human perception of image quality.
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29 Sep 2019 3 repositories listedIn this paper, we propose Test-Time Training, a general approach for improving the performance of predictive models when training and test data come from different distributions.
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21 Aug 2024 2 repositories listedTo the best of our knowledge, VE-Bench introduces the first quality assessment dataset for video editing and an effective subjective-aligned quantitative metric for this domain.
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23 Jul 2024 2 repositories listed Syntology ran 20 of 23 samples · 3 unverifiedDespite the impressive progress, research on metrics for evaluating the quality of generated videos, especially concerning temporal and motion consistency, remains underexplored.
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28 Apr 2023 2 repositories listedThe proliferation of videos collected during in-the-wild natural settings has pushed the development of effective Video Quality Assessment (VQA) methodologies.
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24 Mar 2023 2 repositories listedOur results show that our pretrained aesthetic vision-language model outperforms prior works on image aesthetic captioning over the AVA-Captions dataset, and it has powerful zero-shot capability for aesthetic tasks such…
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26 Feb 2023 2 repositories listedRecent learning-based video quality assessment (VQA) algorithms are expensive to implement due to the cost of data collection of human quality opinions, and are less robust across various scenarios due to the biases of…
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27 Jul 2022 2 repositories listed Syntology ran 7 of 21 samples · 14 unverifiedThis paper studies the effect of small misalignment, specifically a small shift between the input and reference image, on existing metrics, and accordingly develops a shift-tolerant similarity metric.
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25 Oct 2021 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)We consider the problem of obtaining image quality representations in a self-supervised manner.
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19 Aug 2021 2 repositories listedThe inaccessibility of reference videos with pristine quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality assessment (BVQA) task.
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12 Aug 2021 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)To accommodate this, the input images are usually resized and cropped to a fixed shape, causing image quality degradation.
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8 Dec 2020 2 repositories listedVQA (Video Quality Assessment) models based on regression and gradient boosting with SRCC reaching up to 0.
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21 May 2020 2 repositories listedWe first carry out a psychophysical experiment to investigate the interplay among the VR viewing conditions, the user viewing behaviors, and the perceived quality of 360{\deg} images.
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16 Apr 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedObjective measures of image quality generally operate by comparing pixels of a "degraded" image to those of the original.
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20 Dec 2019 2 repositories listedBlind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily.
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14 Oct 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedDeep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets.
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1 Aug 2019 2 repositories listed Syntology ran 2 of 3 samples · 1 unverifiedWe propose an objective no-reference video quality assessment method by integrating both effects into a deep neural network.
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12 Dec 2018 2 repositories listedThis is a full-reference tempospatial approach that considers both temporal and spatial PSD characteristics.
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15 Oct 2018 2 repositories listedA linear decoder is trained with 7 GB worth of data, which corresponds to 100, 000 8x8 image patches randomly obtained from nearly 1, 000 images in the ImageNet 2013 database.
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18 Dec 2016 2 repositories listedNumerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on visual perception.
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4 May 2004 2 repositories listedThe structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural…
Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections