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Novel View Synthesis On Tanks And Temples

Metrics

LPIPS

PSNR

SSIM

Results

Performance results of various models on this benchmark

				Paper Title	Repository
TensoRF + NeRFLiX++	-	29.24	-	From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
TensoRF + NeRFLiX	-	28.94	0.93	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Plenoxels + NeRFLiX	-	28.61	-	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Self-Organizing Gaussians	0.208	25.63	-	Compact 3D Scene Representation via Self-Organizing Gaussian Grids
HAC 3DGS	0.177	24.40	0.853	HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
Compact3D	0.188	23.47	0.840	CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
3D Gaussian Splatting	0.183	23.14	0.841	3D Gaussian Splatting for Real-Time Radiance Field Rendering
Mip-NERF 360	0.28	19.65	0.731	Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
C3DGS	0.201	0.2332	0.831	Compact 3D Gaussian Representation for Radiance Field
DIVeR + NeRFLiX	-	-	0.924	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

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Novel View Synthesis On Tanks And Temples | SOTA | HyperAI