Novel View Synthesis On Nerf
Métriques
LPIPS
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | LPIPS | PSNR | SSIM |
|---|---|---|---|
| mobilenerf-exploiting-the-polygon | 0.051 | 31.65 | 0.952 |
| k-planes-explicit-radiance-fields-in-space | - | 31.71 | 0.958 |
| k-planes-explicit-radiance-fields-in-space | - | 32.36 | 0.967 |
| one-is-all-bridging-the-gap-between-neural | - | - | - |
| k-planes-explicit-radiance-fields-in-space | - | 33.18 | - |
| k-planes-explicit-radiance-fields-in-space | - | 32.21 | 0.964 |
| deformable-beta-splatting | 0.028 | 34.66 | 0.973 |
| k-planes-explicit-radiance-fields-in-space | - | 33.14 | 0.963 |
| mobilenerf-exploiting-the-polygon | 0.081 | 31 | 0.947 |
| mobilenerf-exploiting-the-polygon | 0.062 | 30.9 | 0.947 |
| compact-3d-scene-representation-via-self | 0.031 | 33.7 | 0.969 |
| mobilenerf-exploiting-the-polygon | 0.05 | 30.38 | 0.95 |