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DUF Yes Deformable convolution Unpublished TensorFlow 2018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
ESRGAN No PyTorch 2018
iSeeBetter Yes Recurrent architecture + optical flow PyTorch 2020
LGFN Yes Deformable convolution Vimeo-90k PyTorch 2020
RBPN Yes Recurrent architecture + optical flow Vimeo-90k PyTorch 2019
RRN Yes Recurrent architecture Vimeo-90k PyTorch 2020
Real-ESRGAN No PyTorch 2021
Real-ESRNet No PyTorch 2021
RealSR No DF2K, DPED PyTorch 2020
RSDN Yes Recurrent Vimeo-90k PyTorch 2020
SOF-VSR Yes Optical flow CDVL PyTorch 2020
TDAN Yes Deformable convolution Vimeo-90k PyTorch 2020
TGA Yes Temporal Group Attention Vimeo-90k PyTorch 2020
TMNet Yes Deformable convolution Vimeo-90k PyTorch 2021

D3Dnet

DBVSR

DUF

DynaVSR

ESPCN

ESRGAN

iSeeBetter

LGFN

RBPN

Real-ESRGAN

Real-ESRNet

RealSR

RRN

RSDN

SOF-VSR

TDAN

TGA

TMNet

26 Apr 2021
See Also
MSU 3D-video Quality Analysis. Report 12
MSU Video Upscalers Benchmark 2021
The most comprehensive comparison of video super resolution (VSR) algorithms by subjective quality
MSU Video Upscalers Benchmark Participants
The list of the participants of the MSU Video Upscalers Benchmark
MSU Video Upscalers Benchmark Methodology
The methodology of the MSU Video Upscalers Benchmark
MSU Video Alignment and Retrieval Benchmark
Explore the best algorithms in different video alignment tasks
MSU Video Alignment and Retrieval Benchmark Suite Participants
List of participants of MSU Video Alignment and Retrieval Benchmark Suite
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