Video Frame Interpolation on Inter4K L (test)
25.16PSNRfLDR-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| fLDR-NetPretrained flow=false, # Param. (Mill.)=0.9, Memory (for 4K)=4.6 GB, Training dataset=X-Train, Inference (in s/f)=0.512022.11 | 25.16 | |
| M2M-PWCPretrained flow=true, # Param. (Mill.)=7.6, Memory (for 4K)=10 GB, Training dataset=Vimeo90K, Inference (in s/f)=0.212022.11 | 24.87 | |
| XVFIPretrained flow=false, # Param. (Mill.)=5.5, Memory (for 4K)=>12 GB, Training dataset=X-Train2022.11 | 24.62 | |
| RIFEmPretrained flow=false, # Param. (Mill.)=9.8, Memory (for 4K)=6.8 GB, Training dataset=X-Train, Inference (in s/f)=0.402022.11 | 24.47 | |
| RIFEmPretrained flow=false, # Param. (Mill.)=9.8, Memory (for 4K)=6.8 GB, Training dataset=Vimeo90K, Inference (in s/f)=0.402022.11 | 24.4 |