Video Inpainting On Youtube Vos
评估指标
Ewarp
PSNR
SSIM
VFID
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Ewarp | PSNR | SSIM | VFID |
|---|---|---|---|---|
| learnable-gated-temporal-shift-module-for | 0.1859 | 29.74 | 0.9504 | 0.070 |
| copy-and-paste-networks-for-deep-video | 0.1470 | 31.58 | 0.9607 | 0.071 |
| towards-an-end-to-end-framework-for-flow | 0.0864 | 33.71 | 0.9700 | 0.046 |
| fuseformer-fusing-fine-grained-information-in | 0.0900 | 33.29 | 0.9681 | 0.053 |
| propainter-improving-propagation-and | - | 34.43 | 0.9735 | 0.042 |
| flow-edge-guided-video-completion | 0.1022 | 29.67 | 0.9403 | 0.064 |
| deep-video-inpainting | 0.1490 | 29.20 | 0.9434 | 0.072 |
| deep-flow-guided-video-inpainting | 0.1509 | 29.16 | 0.9429 | 0.066 |
| deficiency-aware-masked-transformer-for-video | - | 34.27 | 0.9730 | 0.044 |
| learning-joint-spatial-temporal | 0.0907 | 32.34 | 0.9655 | 0.053 |