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Multi-view Depth Estimation on KITTI

0.0353Absolute Relative Error (Rel)Ours
-1.4392888.51418118.4676528.421119Mar 10, 2025May 24, 2025Aug 8, 2025Oct 22, 2025Jan 6, 2026Mar 22, 2026Jun 6, 2026

Evaluation results

MethodLinks
OursScale=GT2026.060.0353—0.12192.00390.063498.9699.7299.89
PI3Scale=GT2026.060.0464—0.14882.11420.074898.2899.799.89
DA3Scale=GT2026.060.0473—0.26012.58690.087597.5499.3899.78
VGGTScale=GT2026.060.0703—0.29043.24240.106496.1898.9999.66
Mast3RScale=GT2026.060.0834—0.64354.67790.360594.4597.7498.61
Fast3RScale=GT2026.060.1024—0.54893.94260.150190.5397.8999.35
OursScale=Pred2026.060.1226—0.36052.9460.147585.999.8899.89
DA3Scale=Pred2026.060.2448—1.1925.09790.301435.8885.8297.54
DUSt3RMethod category=feed-forward methods, Implementation source=official2025.039.139.5——————
PE3RMethod category=semantic reconstruction, Base predictor=VGGT2025.039.243.8——————
VGGTMethod category=feed-forward methods, Implementation source=official2025.039.441.3——————
PE3RMethod category=semantic reconstruction, Base predictor=DUSt3R2025.039.448.6——————
DUSt3RMethod category=feed-forward methods, Implementation source=our implementation2025.031133.2——————
COLMAPMethod category=classical methods, Implementation source=official2025.031258.2——————
COLMAP DenseMethod category=classical methods, Implementation source=official2025.0326.952.7——————
MASt3RMethod category=feed-forward methods, Implementation source=our implementation2025.0336.95.4——————