HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Novel View Synthesis On Nerf

평가 지표

LPIPS

PSNR

SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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

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