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ResearchFormerly WizWand

Video Frame Interpolation on SNU-FILM Extreme

25.79PSNRVFIMamba
17.750819.837921.92524.0121Feb 28, 2022Jul 20, 2022Dec 10, 2022May 1, 2023Sep 21, 2023Feb 10, 2024Jul 2, 2024
Updated 8mo ago

Evaluation results

MethodLinks
VFIMambaTraining Dataset=V+X, FLOPs (T)=0.94, Runtime (ms)=310.92024.0725.7986.82
EMA-VFITraining Dataset=V, FLOPs (T)=0.91, Runtime (ms)=239.62024.0725.6986.61
Ours-Aug (DQBC)Test augmentation=true2023.0425.6186.48
SGM-VFITraining Dataset=V+X, FLOPs (T)=1.78, Runtime (ms)=942.92024.0725.5986.46
VFIMamba-STraining Dataset=V+X, FLOPs (T)=0.24, Runtime (ms)=128.02024.0725.5986.55
EMA-VFI-STraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=76.42024.0725.4786.32
CURE2022.0225.4486.38
VFIformer2023.0425.4386.43
AMT-GTraining Dataset=V, FLOPs (T)=2.07, Runtime (ms)=403.72024.0725.4386.44
VFIformer2022.0525.4386.43
ABME2022.0225.4286.39
ABMETime (s)=0.905, Params (M)=18.1, FLOPS (T)=1.32022.0525.4286.39
ABME2023.0425.4286.39
ABME2022.0525.4286.39
Ours (DQBC)Test augmentation=false2023.0425.4186.28
AMT-LTraining Dataset=V, FLOPs (T)=0.58, Runtime (ms)=183.422024.0725.4186.38
IFRNet largeTime (s)=0.079, Params (M)=19.7, FLOPS (T)=0.792022.0525.2786.09
RIFETraining Dataset=V, FLOPs (T)=0.20, Runtime (ms)=35.22024.0725.2786.01
IFRNet-LTraining Dataset=V, FLOPs (T)=0.79, Runtime (ms)=115.32024.0725.2686.09
RIFEmodel_variant=Large2022.0525.2486.21
SoftsplatTraining Dataset=V, FLOPs (T)=0.94, Runtime (ms)=266.42024.0725.1686.04
DAINTime (s)=1.033, Params (M)=24, FLOPS (T)=5.512022.0525.0985.84
DAIN2023.0425.0985.84
DAINTraining Dataset=V, FLOPs (T)=5.51, Runtime (ms)=897.82024.0725.0985.84
DAIN2022.0525.0985.84
M2M-VFITraining Dataset=V, FLOPs (T)=0.26, Runtime (ms)=60.92024.0725.0886.04
IFRNetTime (s)=0.025, Params (M)=5, FLOPS (T)=0.212022.0525.0585.87
IFRNet smallTime (s)=0.019, Params (M)=2.8, FLOPS (T)=0.122022.0525.0585.82
RIFETime (s)=0.026, Params (M)=9.8, FLOPS (T)=0.22022.0524.8485.34
RIFE2023.0424.8285.29
CAIN2022.0224.7885.07
CAINTime (s)=0.069, Params (M)=42.8, FLOPS (T)=1.292022.0524.7885.07
CAIN2023.0424.7885.07
CAINTraining Dataset=V, FLOPs (T)=1.29, Runtime (ms)=102.42024.0724.7885.07
CAIN2022.0524.7885.07
RRIN2022.0224.5985.11
CDFI fullTime (s)=0.38, Params (M)=5, FLOPS (T)=0.822022.0524.5384.76
AdaCoF2022.0224.3184.39
SepConvTime (s)=0.065, Params (M)=21.7, FLOPS (T)=0.362022.0524.3184.48
AdaCoFTime (s)=0.054, Params (M)=21.8, FLOPS (T)=0.362022.0524.3184.39
SepConv2023.0424.3184.48
AdaCoF2023.0424.3184.39
AdaCofTraining Dataset=V, FLOPs (T)=0.36, Runtime (ms)=85.12024.0724.3184.39
SepConv2022.0524.3184.48
AdaCoF2022.0524.3184.39
XVFITraining Dataset=V, FLOPs (T)=0.37, Runtime (ms)=165.22024.0724.1784.5
XVFI2022.0223.9884.17
BMBC2022.0223.9284.32
BMBCTime (s)=3.845, Params (M)=11, FLOPS (T)=2.52022.0523.9284.32
BMBC2023.0423.9284.32
BMBC2022.0523.9284.32
ToFlow2022.0223.3983.1
ToFlowTime (s)=0.152, Params (M)=1.4, FLOPS (T)=0.622022.0523.3983.1
ToFlow2023.0423.3983.1
ToFlow2022.0523.3983.1
CyclicGenTime (s)=0.161, Params (M)=19.8, FLOPS (T)=1.772022.0522.780.83
CyclicGen2023.0422.780.83
CyclicGen2022.0522.780.83
SepConv2022.0218.0677.47