Point map estimation on NRGBD benchmark leaderboard · SOTA2 Research

Point map estimation on NRGBD

0.135Mean AccuracyFast3R

Evaluation Results

Method	Links
Fast3R2025.07		0.135	0.091	0.163	0.104	0.759	0.877
CUT3R2025.07		0.104	0.041	0.079	0.031	0.822	0.968
CUT3R2025.07		0.086	0.037	0.048	0.017	0.8	0.953
Fast3R2025.07		0.072	0.03	0.05	0.016	0.79	0.934
VGGT-FT2026.04		0.071	0.046	0.071	0.041	0.875	0.959
FLARE2025.07		0.053	0.024	0.051	0.025	0.877	0.988
VGGT2025.07		0.051	0.029	0.066	0.038	0.89	0.981
VGGT2026.04		0.049	0.027	0.066	0.037	0.882	0.979
SparseVGGT2026.05		0.0363	0.0258	0.0169	0.0041	0.6907	0.8353
LiteVGGT2026.05		0.0264	0.0154	0.0152	0.003	0.6833	0.8009
pi^32025.07		0.026	0.015	0.028	0.014	0.916	0.992
pi^32026.04		0.024	0.013	0.028	0.013	0.909	0.991
pi^3-FT2026.04		0.024	0.014	0.028	0.014	0.903	0.99
FLARE2025.07		0.023	0.011	0.018	0.008	0.882	0.986
Speed3R2026.05		0.0208	0.0137	0.0149	0.004	0.7256	0.8617
Sparse-π32026.05		0.0189	0.01	0.0149	0.004	0.735	0.8663
FastVGGT2026.05		0.0181	0.0131	0.0115	0.0031	0.7196	0.864
VGGT2025.07		0.017	0.01	0.015	0.005	0.893	0.988
Co-Me2026.05		0.0167	0.0091	0.0115	0.0033	0.7716	0.9104
VGGT2026.05		0.016	0.0099	0.0112	0.0028	0.7508	0.8917
SparseVGGT2026.05		0.016	0.0099	0.0112	0.0027	0.7384	0.8787
pi^32025.07		0.015	0.008	0.013	0.005	0.898	0.987
VGGT2026.04		0.015	0.008	0.015	0.006	0.871	0.982
VGGT-FT2026.04		0.015	0.008	0.016	0.006	0.859	0.981
Sparse-π32026.05		0.015	0.0078	0.0112	0.0027	0.7361	0.8672
GoToHunt2026.05		0.0149	0.0073	0.0107	0.0027	0.7461	0.8778
GoToHunt2026.05		0.0148	0.0074	0.0107	0.0027	0.7463	0.8781
pi^32026.04		0.013	0.007	0.014	0.006	0.874	0.981
pi^3-FT2026.04		0.013	0.007	0.014	0.005	0.864	0.978
π32026.05		0.0128	0.0057	0.0101	0.0024	0.7503	0.8806
GoToHunt2026.05		0.0127	0.0075	0.0112	0.0027	0.7552	0.8946
GoToHunt2026.05		0.0126	0.0074	0.0113	0.0028	0.7582	0.8973