Datasets › MSU SR-QA Dataset

MSU SR-QA Dataset (MSU Super-Resolution Quality Assessment Dataset)

4 Mar 2024 archive 2025-07-28

Our dataset was made of videos from MSU Video Upscalers Benchmark Dataset, MSU Video Super-Resolution Benchmark Dataset and MSU Super-Resolution for Video Compression Benchmark Dataset. Dataset consists of real videos (were filmed with 2 cameras), video games footages, movies, cartoons, dynamic ads.

How we brought our dataset closer to completeness? * The dataset covers a large number of use cases in the field of SR due to the large number of content types * The dataset contains videos with completely different resolutions, FPS values: 8, 24, 25, 30, 60, as well as high and low spatio-temporal complexity * Distorted videos were obtained using 46 SR methods, some of them were preprocessed with 5 codecs: aomenc, vvenc, x264, x265, uavs3es with different bitrates and qp values * The dataset was manually checked for redundancy

Videos from benchmarks are FullHD video crops, since the subjective comparison was made on crops. Therefore, the resolution of all videos in the received dataset is low.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Video Quality Assessment MSU SR-QA Dataset PieAPP SROCC 0.75215 PieAPP: Perceptual Image-Error Assessment through... prashnani/PerceptualImageError 60 Compare

Papers archive 2025-07-28

26 shown of 26 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 26. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels 1 3 28 Dec 2023 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment 1 8 6 Aug 2023 ran 3 of 10 samples (7 unverified; 10 pointer-only for licence)
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining 2 1 24 Mar 2023 not harvested
Shift-tolerant Perceptual Similarity Metric 2 2 27 Jul 2022 ran 7 of 21 samples (14 unverified)
Exploring CLIP for Assessing the Look and Feel of Images 1 4 25 Jul 2022 not harvested
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment 2 1 19 Apr 2022 ran 2 of 9 samples (7 unverified)
ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution 1 1 19 Oct 2021 not harvested
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment 0 1 16 Oct 2021 not harvested
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency 1 3 16 Aug 2021 not harvested
MUSIQ: Multi-scale Image Quality Transformer 2 4 12 Aug 2021 ran 5 of 6 samples (1 unverified; 6 pointer-only for licence)
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training 1 1 9 Nov 2020 not harvested
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment 1 1 10 Aug 2020 ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network 1 1 1 Jun 2020 not harvested
Image Quality Assessment: Unifying Structure and Texture Similarity 2 1 16 Apr 2020 ran 0 of 2 samples (2 unverified)
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality 2 1 20 Dec 2019 not harvested
Quality Assessment of In-the-Wild Videos 2 1 1 Aug 2019 ran 2 of 3 samples (1 unverified)
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network 1 1 5 Jul 2019 ran 4 of 10 samples (6 unverified)
The 2018 PIRM Challenge on Perceptual Image Super-resolution 8 1 20 Sep 2018 not harvested
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference 1 1 6 Jun 2018 not harvested
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric 24 2 11 Jan 2018 ran 2 of 2 samples (0 unverified)
NIMA: Neural Image Assessment 12 1 15 Sep 2017 not harvested
Learning a No-Reference Quality Metric for Single-Image Super-Resolution 2 1 18 Dec 2016 not harvested
No-Reference Image Quality Assessment in the Spatial Domain 1 1 17 Aug 2012 not harvested
FSIM: A Feature Similarity Index for Image Quality Assessment 0 1 31 Jan 2011 not harvested
Multiscale structural similarity for image quality assessment 2 4 4 May 2004 not harvested
Image quality assessment: from error visibility to structural similarity 0 1 13 Apr 2004 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MSU SR-QA Dataset

1 variant name, as the archive lists them.

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