List your company

Video Frame Interpolation on Middlebury (PSNR/SSIM/LPIPS)

38.83PSNROurs-triplets
34.87835.90436.9337.956Mar 18, 2021May 18, 2021Jul 18, 2021Sep 17, 2021Nov 17, 2021Jan 17, 2022Mar 19, 2022

Evaluation results

MethodLinks
Ours-tripletstraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=28.9, Runtime (ms)=6802022.0338.830.989—
SoftSplat-LLapTraining dataset=Vimeo-90K2021.0338.420.9710.016
SoftSplattraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=7.7, Runtime (ms)=1352022.0338.420.971—
RIFE-Ltraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=20.9, Runtime (ms)=722022.0337.640.985—
SoftSplat-LfTraining dataset=Vimeo-90K2021.0337.550.9650.008
SepConv++training dataset=Vimeo-Triplets-Train, self-ensembling=true2022.0337.47——
PWDNtraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=7.82022.0337.2——
CDFITraining dataset=Vimeo-90K, Parameters (million)=4.982021.0337.140.9660.007
CtxSyn-LLapTraining dataset=proprietary2021.0336.930.9640.016
EDSCtraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=8.9, Runtime (ms)=462022.0336.80.983—
BMBCTraining dataset=Vimeo-90K, Parameters (million)=11.02021.0336.790.9650.015
EDSC-LcTraining dataset=Vimeo-90K, Parameters (million)=8.92021.0336.760.9660.014
DAINTraining dataset=Vimeo-90K, Parameters (million)=24.022021.0336.70.9650.017
DAINtraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=24.0, Runtime (ms)=1302022.0336.70.965—
BMBCtraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=11.0, Runtime (ms)=15802022.0336.660.983—
EDSC-LfTraining dataset=Vimeo-90K, Parameters (million)=8.92021.0336.480.9630.007
AdaCoF+Training dataset=Vimeo-90K, Parameters (million)=22.93, F=11, d=22021.0336.090.9620.017
CtxSyn-LfTraining dataset=proprietary2021.0335.950.9590.013
SepConv-L1Training dataset=proprietary, Parameters (million)=21.62021.0335.730.9590.017
SepConvtraining dataset=proprietary, # Parameters (Million)=21.6, Runtime (ms)=512022.0335.730.959—
AdaCoFTraining dataset=Vimeo-90K, Parameters (million)=21.84, F=5, d=12021.0335.720.9590.019
TOFlowtraining dataset=Vimeo-Triplets-Train, # Parameters (Million)=1.1, Runtime (ms)=722022.0335.290.956—
CAINTraining dataset=Vimeo-90K, Parameters (million)=42.82021.0335.110.9510.019
SepConv-LfTraining dataset=proprietary, Parameters (million)=21.62021.0335.030.9540.013