Video Inpainting On Hqvi 240P
Métriques
LPIPS
PSNR
SSIM
VFID
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | LPIPS | PSNR | SSIM | VFID | Paper Title | Repository |
|---|---|---|---|---|---|---|
| E2FGVI | 0.0401 | 30.63 | 0.9427 | 0.1885 | Towards An End-to-End Framework for Flow-Guided Video Inpainting | |
| RGVI w/o Ref. | 0.0390 | 31.60 | 0.9559 | 0.1868 | Elevating Flow-Guided Video Inpainting with Reference Generation | |
| FGVC | 0.0409 | 28.37 | 0.9383 | 0.2436 | Flow-edge Guided Video Completion | |
| FuseFormer | 0.0498 | 29.92 | 0.9365 | 0.2727 | FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting | |
| RGVI | 0.0335 | 30.66 | 0.9527 | 0.1825 | Elevating Flow-Guided Video Inpainting with Reference Generation | |
| ProPainter | 0.0388 | 30.62 | 0.9413 | 0.2128 | ProPainter: Improving Propagation and Transformer for Video Inpainting | |
| STTN | 0.0528 | 29.64 | 0.9339 | 0.2594 | Learning Joint Spatial-Temporal Transformations for Video Inpainting |
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