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Video Frame Interpolation on SNU-FILM Medium (PSNR/SSIM)

36.4PSNRVFIMamba
26.967229.416131.86534.3139Feb 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)=310.92024.0736.40.9805
Ours-Aug (DQBC)Test augmentation=true2023.0436.250.9799
VFIMamba-STraining Dataset=V+X, FLOPs (T)=0.24, Runtime (ms)=128.02024.0736.170.98
IFRNet largeTime (s)=0.079, Params (M)=19.7, FLOPS (T)=0.792022.0536.120.9797
IFRNet-LTraining Dataset=V, FLOPs (T)=0.79, Runtime (ms)=115.32024.0736.120.9797
AMT-GTraining Dataset=V, FLOPs (T)=2.07, Runtime (ms)=403.72024.0736.120.9805
Ours (DQBC)Test augmentation=false2023.0436.10.9796
VFIformer2023.0436.090.9799
EMA-VFITraining Dataset=V, FLOPs (T)=0.91, Runtime (ms)=239.62024.0736.090.9801
AMT-LTraining Dataset=V, FLOPs (T)=0.58, Runtime (ms)=183.422024.0736.090.9805
VFIformer2022.0536.090.9799
SoftsplatTraining Dataset=V, FLOPs (T)=0.94, Runtime (ms)=266.42024.0736.070.9798
SGM-VFITraining Dataset=V+X, FLOPs (T)=1.78, Runtime (ms)=942.92024.0736.060.9795
CURE2022.0235.940.9797
IFRNetTime (s)=0.025, Params (M)=5, FLOPS (T)=0.212022.0535.940.9793
IFRNet smallTime (s)=0.019, Params (M)=2.8, FLOPS (T)=0.122022.0535.920.9792
RIFEmodel_variant=Large2022.0535.920.9791
EMA-VFI-STraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=76.42024.0735.880.9795
ABME2022.0235.770.9789
ABMETime (s)=0.905, Params (M)=18.1, FLOPS (T)=1.32022.0535.770.9789
ABME2023.0435.770.9789
ABME2022.0535.770.9789
RIFETraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=35.22024.0735.760.9787
RIFETime (s)=0.026, Params (M)=9.8, FLOPS (T)=0.22022.0535.750.9789
M2M-VFITraining Dataset=V, FLOPs (T)=0.26, Runtime (ms)=60.92024.0735.740.9794
RIFE2023.0435.720.9786
CAIN2022.0235.610.9776
CAINTime (s)=0.069, Params (M)=42.8, FLOPS (T)=1.292022.0535.610.9776
CAIN2023.0435.610.9776
CAINTraining Dataset=V, FLOPs (T)=1.29, Runtime (ms)=102.42024.0735.610.9776
CAIN2022.0535.610.9776
CDFI fullTime (s)=0.38, Params (M)=5, FLOPS (T)=0.822022.0535.510.9778
DAINTime (s)=1.033, Params (M)=24, FLOPS (T)=5.512022.0535.460.978
DAIN2023.0435.460.978
DAINTraining Dataset=V, FLOPs (T)=5.51, Runtime (ms)=897.82024.0735.460.978
DAIN2022.0535.460.978
XVFITraining Dataset=V, FLOPs (T)=0.37, Runtime (ms)=165.22024.0735.370.9782
BMBC2022.0235.310.9774
BMBCTime (s)=3.845, Params (M)=11, FLOPS (T)=2.52022.0535.310.9774
BMBC2023.0435.310.9774
BMBC2022.0535.310.9774
RRIN2022.0235.230.9776
XVFI2022.0235.120.9769
AdaCoF2022.0235.050.9754
AdaCoFTime (s)=0.054, Params (M)=21.8, FLOPS (T)=0.362022.0535.050.9754
AdaCoF2023.0435.050.9753
AdaCofTraining Dataset=V, FLOPs (T)=0.36, Runtime (ms)=85.12024.0735.050.9754
AdaCoF2022.0535.050.9754
SepConvTime (s)=0.065, Params (M)=21.7, FLOPS (T)=0.362022.0534.970.9762
SepConv2023.0434.970.9762
SepConv2022.0534.970.9762
ToFlow2022.0234.390.974
ToFlowTime (s)=0.152, Params (M)=1.4, FLOPS (T)=0.622022.0534.390.974
ToFlow2023.0434.390.974
ToFlow2022.0534.390.974
CyclicGenTime (s)=0.161, Params (M)=19.8, FLOPS (T)=1.772022.0532.470.9554
CyclicGen2023.0432.470.9554
CyclicGen2022.0532.470.9554
SepConv2022.0227.330.9451