Datasets › MSU Video Super Resolution Benchmark: Detail Restoration

MSU Video Super Resolution Benchmark: Detail Restoration

archive 2025-07-28

This is a dataset for a video super-resolution task. The dataset contains the most complex content for the restoration task: faces, text, QR-codes, car numbers, unpatterned textures, small details. Videos include different types of motion and different types of degradation: bicubic interpolation (BI) and Gaussian blurring and downsampling (BD). The resolution of all input video sequences is 480x320. Source: https://videoprocessing.ai/benchmarks/video-super-resolution.html Image Source: https://videoprocessing.ai/benchmarks/video-super-resolution.html

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 Super-Resolution MSU Video Super Resolution Benchmark: Detail Restoration VRT Subjective score 7.628 VRT: A Video Restoration Transformer jingyunliang/vrt 32 Compare

Papers archive 2025-07-28

25 shown of 25 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 25. 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
VRT: A Video Restoration Transformer 1 1 28 Jan 2022 ran 4 of 5 samples (1 unverified; 5 pointer-only for licence)
SwinIR: Image Restoration Using Swin Transformer 9 1 23 Aug 2021 ran 30 of 45 samples (15 unverified; 5 pointer-only for licence)
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling 1 1 11 Aug 2021 ran 5 of 7 samples (2 unverified)
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data 8 2 22 Jul 2021 ran 3 of 9 samples (6 unverified)
COMISR: Compression-Informed Video Super-Resolution 2 1 4 May 2021 ran 0 of 3 samples (3 unverified)
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution 1 1 21 Apr 2021 ran 1 of 6 samples (5 unverified)
Towards Real-World Blind Face Restoration with Generative Facial Prior 1 1 11 Jan 2021 not harvested
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond 6 1 3 Dec 2020 not harvested
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution 1 2 9 Nov 2020 not harvested
Local-Global Fusion Network for Video Super-Resolution 1 1 22 Sep 2020 not harvested
Revisiting Temporal Modeling for Video Super-resolution 2 2 13 Aug 2020 ran 0 of 2 samples (2 unverified)
Video Super-Resolution with Recurrent Structure-Detail Network 2 1 2 Aug 2020 not harvested
Blind Face Restoration via Deep Multi-scale Component Dictionaries 1 1 2 Aug 2020 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)
Video Super-resolution with Temporal Group Attention 1 1 21 Jul 2020 not harvested
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks 1 1 21 Jun 2020 not harvested
Real-World Super-Resolution via Kernel Estimation and Noise Injection 2 1 19 Jun 2020 not harvested
Deformable 3D Convolution for Video Super-Resolution 1 1 6 Apr 2020 ran 3 of 3 samples (0 unverified; 1 pointer-only for licence)
Deep Blind Video Super-resolution 2 1 10 Mar 2020 ran 9 of 15 samples (6 unverified)
Deep Video Super-Resolution using HR Optical Flow Estimation 2 2 6 Jan 2020 not harvested
Recurrent Back-Projection Network for Video Super-Resolution 7 1 25 Mar 2019 ran 0 of 7 samples (7 unverified)
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution 2 1 7 Dec 2018 not harvested
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks 46 1 1 Sep 2018 ran 8 of 44 samples (36 unverified)
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation 1 2 1 Jun 2018 not harvested
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations 1 1 17 Dec 2017 not harvested
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 47 1 16 Sep 2016 ran 4 of 20 samples (16 unverified; 1 pointer-only for licence)

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 Video Super Resolution Benchmark: Detail Restoration

1 variant name, as the archive lists them.

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