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Novel View Synthesis On Nerf

Metrics

LPIPS

PSNR

SSIM

Results

Performance results of various models on this benchmark

				Paper Title	Repository
Deformable Beta Splatting	0.028	34.66	0.973	Deformable Beta Splatting
Self-Organizing Gaussians	0.031	33.7	0.969	Compact 3D Scene Representation via Self-Organizing Gaussian Grids
I-NGP	-	33.18	-	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
TensoRF	-	33.14	0.963	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
K-Planes (explicit)	-	32.21	0.964	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Plenoxels	-	31.71	0.958	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
JAXNeRF	0.051	31.65	0.952	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
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
SNeRG	0.05	30.38	0.95	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
PVD_Hash2NeRF	-	-	-	One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation

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Novel View Synthesis On Nerf | SOTA | HyperAI