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DUF Yes Deformable convolution Unpublished TensorFlow 2018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
PSNR and SSIM: application areas and critics
Learn about limits and applicability of the most popular metrics
MSU Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
MSU Super-Resolution for Video Compression Benchmark Participants
The list of participants of MSU Super-Resolution for Video Compression Benchmark
MSU Super-Resolution for Video Compression Benchmark Methodology
The evaluation methodology of MSU Super-Resolution for Video Compression Benchmark
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
Site structure