Video Frame Interpolation On X4K1000Fps 2K
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Model Name | PSNR | SSIM | Paper Title | Repository |
|---|---|---|---|---|
| VFIMamba | 33.33 | 0.9362 | VFIMamba: Video Frame Interpolation with State Space Models | |
| CURE | 30.05 | 0.8998 | Learning Cross-Video Neural Representations for High-Quality Frame Interpolation | |
| EMA-VFI | 32.85 | - | Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation | |
| M2M-PWC | 32.07 | 0.923 | Many-to-many Splatting for Efficient Video Frame Interpolation |
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