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Novel View Synthesis On Llff

Métriques

LPIPS
PSNR
SSIM

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
LPIPS
PSNR
SSIM
Paper TitleRepository
NeRF0.2526.50.811MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures-
AdaNeRF-25.7-HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling-
K-Planes (hybrid)-26.920.847K-Planes: Explicit Radiance Fields in Space, Time, and Appearance-
HyperReel-26.2-HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling-
TermiNeRF-23.6-HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling-
Plenoxels + NeRFLiX0.15626.90.864NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer-
DoNeRF-22.9-HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling-
Plenoxels-26.29-K-Planes: Explicit Radiance Fields in Space, Time, and Appearance-
SNeRG0.18325.630.818MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures-
TensoRF-26.730.839K-Planes: Explicit Radiance Fields in Space, Time, and Appearance-
JAXNeRF0.17326.920.831MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures-
MobileNeRF0.18325.910.825MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures-
K-Planes (explicit)-26.780.841K-Planes: Explicit Radiance Fields in Space, Time, and Appearance-
Instant NGP-25.6-HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling-
TensoRF + NeRFLiX0.14927.390.867NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer-
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Novel View Synthesis On Llff | SOTA | HyperAI