List of participants of MSU Video Super Resolution Benchmark 2021

Name Multi-frame Integrate temporal information by Training dataset Framework Year
D3Dnet Yes Deformable convolution Vimeo-90k PyTorch 2020
DBVSR Yes Optical flow REDS PyTorch 2020
DUF Yes Deformable convolution Unpublished TensorFlow 2018
DynaVSR-V Yes Vimeo-90k PyTorch 2020
DynaVSR-R Yes REDS PyTorch 2020
ESPCN No ImageNet PyTorch 2016
LGFN Yes Deformable convolution Vimeo-90k PyTorch 2020
RRN Yes Recurrent architecture Vimeo-90k PyTorch 2020
RealSR No DF2K, DPED PyTorch 2020
SOF-VSR Yes Optical flow CDVL PyTorch 2020
TDAN Yes Deformable convolution Vimeo-90k PyTorch 2020

D3Dnet

DBVSR

DUF

DynaVSR

ESPCN

LGFN

RealSR

RRN

SOF-VSR

TDAN

26 Apr 2021
See Also
MSU Video Quality Measurement Tool: Picture types
VQMT 13.1 Online help: List of all picture types available in VQMT and their aliases
MSU Video Super Resolution Benchmark
Discover the newest VSR methods and find the most appropriate method for your tasks
MSU VSR Benchmark Methodology
The evaluation methodology of MSU Video Super Resolution Benchmark
MSU SBD Benchmark 2020
MSU SBD Benchmark 2020 Participants
MSU Deinterlacer Benchmark
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