Video Interpolation on UCF-101 (test)
35.8PSNRDeep Voxel Flow
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Deep Voxel FlowInput frames=22017.02 | 35.8 | 0.96 | — | |
| IFRNet largeTime (s)=0.079, Params (M)=19.7, FLOPS (T)=0.792022.05 | 35.42 | 0.9698 | — | |
| SoftSplatTime (s)=0.195, Params (M)=12.2, FLOPS (T)=0.92022.05 | 35.39 | 0.952 | — | |
| SoftSplatLoss=L_Lap, Training Dataset=Vimeo-90K2022.02 | 35.39 | 0.952 | — | |
| ABMETime (s)=0.905, Params (M)=18.1, FLOPS (T)=1.32022.05 | 35.38 | 0.9698 | — | |
| ABMETraining Dataset=Vimeo-90K2022.02 | 35.38 | 0.97 | — | |
| ABMERuntime (seconds)=0.22, #Parameters (millions)=18.12021.08 | 35.38 | 0.9698 | — | |
| FILMLoss=L1, Training Dataset=Vimeo-90K2022.02 | 35.32 | 0.952 | — | |
| IFRNetTime (s)=0.025, Params (M)=5, FLOPS (T)=0.212022.05 | 35.29 | 0.9693 | — | |
| RIFETime (s)=0.026, Params (M)=9.8, FLOPS (T)=0.22022.05 | 35.28 | 0.969 | — | |
| IFRNet smallTime (s)=0.019, Params (M)=2.8, FLOPS (T)=0.122022.05 | 35.28 | 0.9691 | — | |
| CDFI fullTime (s)=0.38, Params (M)=5, FLOPS (T)=0.822022.05 | 35.21 | 0.95 | — | |
| FILMLoss=LvGG, Training Dataset=Vimeo-90K2022.02 | 35.2 | 0.95 | — | |
| FILMLoss=Ls, Training Dataset=Vimeo-90K2022.02 | 35.16 | 0.949 | — | |
| BMBCRuntime (seconds)=0.77, #Parameters (million)=112020.07 | 35.15 | 0.9689 | — | |
| BMBCTime (s)=3.845, Params (M)=11, FLOPS (T)=2.52022.05 | 35.15 | 0.9689 | — | |
| BMBCTraining Dataset=Vimeo-90K2022.02 | 35.15 | 0.969 | — | |
| BMBCRuntime (seconds)=0.77, #Parameters (millions)=11.02021.08 | 35.15 | 0.9689 | — | |
| CyclicGenRuntime (seconds)=0.09, #Parameters (million)=3.042020.07 | 35.11 | 0.9684 | — | |
| CyclicGenTime (s)=0.161, Params (M)=19.8, FLOPS (T)=1.772022.05 | 35.11 | 0.9684 | — | |
| CyclicGenRuntime (seconds)=0.09, #Parameters (millions)=19.82021.08 | 35.11 | 0.9684 | — | |
| SoftSplatLoss=L_F, Training Dataset=Vimeo-90K2022.02 | 35.1 | 0.948 | — | |
| MEMC-Net*#Parameters (million)=70.3, Runtime (seconds)=0.122018.10 | 35.01 | 0.9683 | — | |
| DAINTraining Dataset=Vimeo-90K2022.02 | 35 | 0.95 | — | |
| DAINParameters (million)=24, Runtime (seconds)=0.132019.04 | 34.99 | 0.9683 | — | |
| DAINRuntime (seconds)=0.13, #Parameters (million)=242020.07 | 34.99 | 0.9683 | — | |
| DAINTime (s)=1.033, Params (M)=24, FLOPS (T)=5.512022.05 | 34.99 | 0.9683 | — | |
| DAINRuntime (seconds)=0.13, #Parameters (millions)=24.02021.08 | 34.99 | 0.9683 | — | |
| MEMC-NetParameters (million)=70.3, Runtime (seconds)=0.122019.04 | 34.96 | 0.9682 | — | |
| MEMC-NetRuntime (seconds)=0.12, #Parameters (million)=70.32020.07 | 34.96 | 0.9682 | — | |
| MEMC-Net#Parameters (million)=67.2, Runtime (seconds)=0.062018.10 | 34.95 | 0.9679 | — | |
| CAINTime (s)=0.069, Params (M)=42.8, FLOPS (T)=1.292022.05 | 34.91 | 0.969 | — | |
| CAINRuntime (seconds)=0.04, #Parameters (millions)=42.82021.08 | 34.91 | 0.969 | — | |
| AdaCoFTime (s)=0.054, Params (M)=21.8, FLOPS (T)=0.362022.05 | 34.9 | 0.968 | — | |
| AdaCoFTraining Dataset=Vimeo-90K2022.02 | 34.9 | 0.968 | — | |
| AdaCoFRuntime (seconds)=0.03, #Parameters (millions)=22.92021.08 | 34.9 | 0.968 | — | |
| MEMC-Net_s#Parameters (million)=7.20, Runtime (seconds)=0.132018.10 | 34.83 | 0.9676 | — | |
| SepConv-L1Parameters (million)=21.6, Runtime (seconds)=0.22019.04 | 34.78 | 0.9669 | — | |
| SepConv-L1#Parameters (million)=21.6, Runtime (seconds)=0.202018.10 | 34.78 | 0.9669 | — | |
| SepConv-L1Runtime (seconds)=0.2, #Parameters (million)=21.62020.07 | 34.78 | 0.9669 | — | |
| SepConvTime (s)=0.065, Params (M)=21.7, FLOPS (T)=0.362022.05 | 34.78 | 0.9669 | — | |
| SepConvRuntime (seconds)=0.20, #Parameters (millions)=21.62021.08 | 34.78 | 0.9669 | — | |
| SepConv-LfParameters (million)=21.6, Runtime (seconds)=0.22019.04 | 34.69 | 0.9655 | — | |
| SepConv-LfRuntime (seconds)=0.2, #Parameters (million)=21.62020.07 | 34.69 | 0.9655 | — | |
| CyclicGen_large#Parameters (million)=19.82020.07 | 34.69 | 0.9658 | — | |
| ToFlowParameters (million)=1.07, Runtime (seconds)=0.432019.04 | 34.58 | 0.9667 | — | |
| ToFlow+Mask#Parameters (million)=1.07, Runtime (seconds)=0.432018.10 | 34.58 | 0.9667 | — | |
| ToFlowRuntime (seconds)=0.43, #Parameters (million)=1.072020.07 | 34.58 | 0.9667 | — | |
| ToFlowTime (s)=0.152, Params (M)=1.4, FLOPS (T)=0.622022.05 | 34.58 | 0.9667 | — | |
| ToFlowRuntime (seconds)=0.43, #Parameters (millions)=1.12021.08 | 34.58 | 0.9667 | — | |
| EpicFlowInput frames=22017.02 | 34.2 | 0.95 | — | |
| DVFParameters (million)=1.6, Runtime (seconds)=0.472019.04 | 34.12 | 0.9631 | — | |
| DVFRuntime (seconds)=0.47, #Parameters (million)=1.62020.07 | 34.12 | 0.9631 | — | |
| MINDParameters (million)=7.6, Runtime (seconds)=0.012019.04 | 33.93 | 0.9661 | — | |
| MINDRuntime (seconds)=0.01, #Parameters (million)=7.62020.07 | 33.93 | 0.9661 | — | |
| EpicFlowRuntime (seconds)=8.82019.04 | 33.71 | 0.9635 | — | |
| SPyNetParameters (million)=1.2, Runtime (seconds)=0.112019.04 | 33.67 | 0.9633 | — | |
| SpyNetRuntime (seconds)=0.11, #Parameters (million)=1.22020.07 | 33.67 | 0.9633 | — | |
| Super SloMoTraining Dataset=Full dataset2017.11 | 33.14 | 0.938 | 7.8 | |
| SepConv2017.11 | 33.02 | 0.935 | 8.03 | |
| Super SloMoTraining Dataset=Adobe240-fps2017.11 | 32.84 | 0.935 | 8.04 | |
| Beyond MSEInput frames=22017.02 | 32.8 | 0.93 | — | |
| DVF2017.11 | 32.46 | 0.93 | 8.27 | |
| Phase-Based2017.11 | 32.35 | 0.924 | 8.84 | |
| FlowNet22017.11 | 32.3 | 0.93 | 8.4 |