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ResearchFormerly WizWand

Point Cloud Reconstruction on DTU (evaluation)

0.283Accuracy Error (mm)Gipuma
0.276440.320720.3650.40928Nov 4, 2024
Updated 8mo ago

Evaluation results

MethodLinks
GipumaMethod Category=Traditional, Image Resolution=1600x1152, Number of input images=52024.110.2830.8730.578
MVSFormer++Method Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3090.2520.281
GBiNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3150.2620.289
TransMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3210.2890.305
GeoMVSMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3310.2590.295
GD-PoseMVSMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.110.3380.3310.335
MVSTER*Method Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.340.2660.303
UniMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3520.2780.315
DispMVSMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.110.3540.3240.339
CER-MVSMethod Category=RNN-based, Image Resolution=1600x1152, Number of input images=52024.110.3590.3050.332
IterMVSMethod Category=RNN-based, Image Resolution=1600x1152, Number of input images=52024.110.3730.3540.363
AA-RMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3760.3390.357
MVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.3960.5270.462
COLMAPMethod Category=Traditional, Image Resolution=1600x1152, Number of input images=52024.110.40.6640.532
PatchmatchNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.110.4270.2770.352
RAMDepthMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.110.4470.2780.362