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Point map estimation on NRGBD

0.135Mean Accuracy

Fast3R

Updated 9d ago

Evaluation Results

Method	Links
Fast3R 2025.07		0.135	0.091	0.163	0.104	0.759	0.877
CUT3R 2025.07		0.104	0.041	0.079	0.031	0.822	0.968
CUT3R 2025.07		0.086	0.037	0.048	0.017	0.8	0.953
Fast3R 2025.07		0.072	0.03	0.05	0.016	0.79	0.934
VGGT-FT 2026.04		0.071	0.046	0.071	0.041	0.875	0.959
FLARE 2025.07		0.053	0.024	0.051	0.025	0.877	0.988
VGGT 2025.07		0.051	0.029	0.066	0.038	0.89	0.981
VGGT 2026.04		0.049	0.027	0.066	0.037	0.882	0.979
SparseVGGT 2026.05		0.0363	0.0258	0.0169	0.0041	0.6907	0.8353
LiteVGGT 2026.05		0.0264	0.0154	0.0152	0.003	0.6833	0.8009
pi^3 2025.07		0.026	0.015	0.028	0.014	0.916	0.992
pi^3 2026.04		0.024	0.013	0.028	0.013	0.909	0.991
pi^3-FT 2026.04		0.024	0.014	0.028	0.014	0.903	0.99
FLARE 2025.07		0.023	0.011	0.018	0.008	0.882	0.986
Speed3R 2026.05		0.0208	0.0137	0.0149	0.004	0.7256	0.8617
Sparse-π3 2026.05		0.0189	0.01	0.0149	0.004	0.735	0.8663
FastVGGT 2026.05		0.0181	0.0131	0.0115	0.0031	0.7196	0.864
VGGT 2025.07		0.017	0.01	0.015	0.005	0.893	0.988
Co-Me 2026.05		0.0167	0.0091	0.0115	0.0033	0.7716	0.9104
VGGT 2026.05		0.016	0.0099	0.0112	0.0028	0.7508	0.8917
SparseVGGT 2026.05		0.016	0.0099	0.0112	0.0027	0.7384	0.8787
pi^3 2025.07		0.015	0.008	0.013	0.005	0.898	0.987
VGGT 2026.04		0.015	0.008	0.015	0.006	0.871	0.982
VGGT-FT 2026.04		0.015	0.008	0.016	0.006	0.859	0.981
Sparse-π3 2026.05		0.015	0.0078	0.0112	0.0027	0.7361	0.8672
GoToHunt 2026.05		0.0149	0.0073	0.0107	0.0027	0.7461	0.8778
GoToHunt 2026.05		0.0148	0.0074	0.0107	0.0027	0.7463	0.8781
pi^3 2026.04		0.013	0.007	0.014	0.006	0.874	0.981
pi^3-FT 2026.04		0.013	0.007	0.014	0.005	0.864	0.978
π3 2026.05		0.0128	0.0057	0.0101	0.0024	0.7503	0.8806
GoToHunt 2026.05		0.0127	0.0075	0.0112	0.0027	0.7552	0.8946
GoToHunt 2026.05		0.0126	0.0074	0.0113	0.0028	0.7582	0.8973