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Video Frame Interpolation on SNU-FILM Hard

30.99PSNRVFIMamba
22.472424.683726.89529.1063Feb 28, 2022Jul 20, 2022Dec 10, 2022May 1, 2023Sep 21, 2023Feb 10, 2024Jul 2, 2024

Evaluation results

MethodLinks
VFIMambaTraining Dataset=V+X, FLOPs (T)=0.94, Runtime (ms)=310.92024.0730.990.9401
Ours-Aug (DQBC)Test augmentation=true2023.0430.940.9378
EMA-VFITraining Dataset=V, FLOPs (T)=0.91, Runtime (ms)=239.62024.0730.940.9392
SGM-VFITraining Dataset=V+X, FLOPs (T)=1.78, Runtime (ms)=942.92024.0730.810.9375
VFIMamba-STraining Dataset=V+X, FLOPs (T)=0.24, Runtime (ms)=128.02024.0730.80.9381
Ours (DQBC)Test augmentation=false2023.0430.780.9371
AMT-GTraining Dataset=V, FLOPs (T)=2.07, Runtime (ms)=403.72024.0730.780.9385
AMT-LTraining Dataset=V, FLOPs (T)=0.58, Runtime (ms)=183.422024.0730.750.9384
EMA-VFI-STraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=76.42024.0730.690.9375
VFIformer2023.0430.670.9378
VFIformer2022.0530.670.9378
CURE2022.0230.660.9373
IFRNet largeTime (s)=0.079, Params (M)=19.7, FLOPS (T)=0.792022.0530.630.9368
IFRNet-LTraining Dataset=V, FLOPs (T)=0.79, Runtime (ms)=115.32024.0730.630.9368
ABME2022.0230.580.9364
ABMETime (s)=0.905, Params (M)=18.1, FLOPS (T)=1.32022.0530.580.9364
ABME2023.0430.580.9363
ABME2022.0530.580.9364
SoftsplatTraining Dataset=V, FLOPs (T)=0.94, Runtime (ms)=266.42024.0730.530.9365
RIFEmodel_variant=Large2022.0530.490.9364
IFRNetTime (s)=0.025, Params (M)=5, FLOPS (T)=0.212022.0530.410.9358
IFRNet smallTime (s)=0.019, Params (M)=2.8, FLOPS (T)=0.122022.0530.360.9357
RIFETraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=35.22024.0730.360.9351
M2M-VFITraining Dataset=V, FLOPs (T)=0.26, Runtime (ms)=60.92024.0730.30.936
DAINTime (s)=1.033, Params (M)=24, FLOPS (T)=5.512022.0530.170.9335
DAIN2023.0430.170.9335
DAINTraining Dataset=V, FLOPs (T)=5.51, Runtime (ms)=897.82024.0730.170.9335
DAIN2022.0530.170.9335
RIFETime (s)=0.026, Params (M)=9.8, FLOPS (T)=0.22022.0530.10.933
RIFE2023.0430.070.9326
CAIN2022.0229.90.9292
CAINTime (s)=0.069, Params (M)=42.8, FLOPS (T)=1.292022.0529.90.9292
CAIN2023.0429.90.9292
CAINTraining Dataset=V, FLOPs (T)=1.29, Runtime (ms)=102.42024.0729.90.9292
CAIN2022.0529.90.9292
RRIN2022.0229.790.9301
CDFI fullTime (s)=0.38, Params (M)=5, FLOPS (T)=0.822022.0529.730.9277
XVFITraining Dataset=V, FLOPs (T)=0.37, Runtime (ms)=165.22024.0729.580.9276
AdaCoF2022.0229.460.9244
AdaCoFTime (s)=0.054, Params (M)=21.8, FLOPS (T)=0.362022.0529.460.9244
AdaCoF2023.0429.460.9244
AdaCofTraining Dataset=V, FLOPs (T)=0.36, Runtime (ms)=85.12024.0729.460.9244
AdaCoF2022.0529.460.9244
SepConvTime (s)=0.065, Params (M)=21.7, FLOPS (T)=0.362022.0529.360.9253
SepConv2023.0429.360.9253
SepConv2022.0529.360.9253
BMBC2022.0229.330.927
BMBCTime (s)=3.845, Params (M)=11, FLOPS (T)=2.52022.0529.330.927
BMBC2023.0429.330.927
BMBC2022.0529.330.927
XVFI2022.0229.30.9245
ToFlow2022.0228.440.918
ToFlowTime (s)=0.152, Params (M)=1.4, FLOPS (T)=0.622022.0528.440.918
ToFlow2023.0428.440.918
ToFlow2022.0528.440.918
CyclicGenTime (s)=0.161, Params (M)=19.8, FLOPS (T)=1.772022.0526.950.8871
CyclicGen2023.0426.950.8871
CyclicGen2022.0526.950.8871
SepConv2022.0222.80.8794