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평가 지표
Mean F1 (Intermediate)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
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모델 이름
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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