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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 Title	Repository
NeRF	0.25	26.5	0.811	MobileNeRF: 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)	-	26.92	0.847	K-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 + NeRFLiX	0.156	26.9	0.864	NeRFLiX: 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
SNeRG	0.183	25.63	0.818	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
TensoRF	-	26.73	0.839	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
JAXNeRF	0.173	26.92	0.831	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
MobileNeRF	0.183	25.91	0.825	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
K-Planes (explicit)	-	26.78	0.841	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Instant NGP	-	25.6	-	HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
TensoRF + NeRFLiX	0.149	27.39	0.867	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

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