HyperAI
Accueil
Actualités
Articles de recherche récents
Tutoriels
Ensembles de données
Wiki
SOTA
Modèles LLM
Classement GPU
Événements
Recherche
À propos
Français
HyperAI
Toggle sidebar
Rechercher sur le site...
⌘
K
Accueil
SOTA
Novel View Synthesis
Novel View Synthesis On Nerf
Novel View Synthesis On Nerf
Métriques
LPIPS
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
LPIPS
PSNR
SSIM
Paper Title
Repository
JAXNeRF
0.051
31.65
0.952
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Plenoxels
-
31.71
0.958
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
K-Planes (hybrid)
-
32.36
0.967
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
PVD_Hash2NeRF
-
-
-
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation
I-NGP
-
33.18
-
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
K-Planes (explicit)
-
32.21
0.964
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Deformable Beta Splatting
0.028
34.66
0.973
Deformable Beta Splatting
-
TensoRF
-
33.14
0.963
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
NeRF
0.081
31
0.947
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
MobileNeRF
0.062
30.9
0.947
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Self-Organizing Gaussians
0.031
33.7
0.969
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
SNeRG
0.05
30.38
0.95
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
0 of 12 row(s) selected.
Previous
Next