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SOTA
Point Clouds
Point Clouds On Tanks And Temples
Point Clouds On Tanks And Temples
Métriques
Mean F1 (Intermediate)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Mean F1 (Intermediate)
Paper Title
Repository
MVSNet
43.48
MVSNet: Depth Inference for Unstructured Multi-view Stereo
MVSFormer
66.37
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth
RA-MVSNet
65.72
Multi-View Stereo Representation Revisit: Region-Aware MVSNet
-
CVP-MVSNet
54.03
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Vis-MVSNet
60.03
Visibility-aware Multi-view Stereo Network
AA-RMVSNet
61.51
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
GBi-Net
61.42
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
GeoMVSNet
65.89
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
PatchmatchNet
53.15
PatchmatchNet: Learned Multi-View Patchmatch Stereo
ACMM
57.27
Multi-Scale Geometric Consistency Guided Multi-View Stereo
-
EPP-MVSNet
61.68
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
APD-MVS
63.64
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
-
DPE-MVS
63.98
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
IB-MVS
56.02
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions
-
ET-MVSNet
65.49
When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
MVSFormer++
67.03
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
Cas-MVSNet
56.84
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
GC-MVSNet
62.74
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
CDS-MVSNet
61.58
Curvature-guided dynamic scale networks for Multi-view Stereo
UCSNet
54.83
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
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