HyperAI
Accueil
Actualités
Articles de recherche récents
Tutoriels
Ensembles de données
Wiki
SOTA
Modèles LLM
Classement GPU
Événements
Recherche
À propos
Français
HyperAI
Toggle sidebar
Rechercher sur le site...
⌘
K
Accueil
SOTA
3D Reconstruction
3D Reconstruction On Dtu
3D Reconstruction On Dtu
Métriques
Acc
Comp
Overall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Acc
Comp
Overall
Paper Title
Repository
TransMVSNet
0.321
0.289
0.305
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
UCSNet
0.338
0.349
0.344
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
-
EPP-MVSNet
0.413
0.296
0.355
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
COLMAP
0.400
0.664
0.532
Structure-From-Motion Revisited
ET-MVSNet
0.329
0.253
0.291
When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
MVSNet
0.396
0.527
0.462
MVSNet: Depth Inference for Unstructured Multi-view Stereo
3D-R2N2
0.397
0.884
0.630
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
CDS-MVSNet
0.351
0.278
0.315
Curvature-guided dynamic scale networks for Multi-view Stereo
Gipuma
0.283
0.873
0.578
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
-
GeoMVSNet
0.331
0.259
0.295
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
GoMVS
0.347
0.227
0.287
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
Cas-MVSNet
0.325
0.385
0.355
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
CVP-MVSNet
0.296
0.406
0.351
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
AA-RMVSNet
0.376
0.339
0.357
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
Vis-MVSNet
0.369
0.361
0.365
Visibility-aware Multi-view Stereo Network
GC-MVSNet
0.330
0.260
0.295
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
IB-MVS
0.334
0.309
0.321
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions
-
RA-MVSNet
0.326
0.268
0.297
Multi-View Stereo Representation Revisit: Region-Aware MVSNet
-
GBi-Net
0.312
0.293
0.303
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
MVSFormer++
0.3090
0.2521
0.2805
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
0 of 24 row(s) selected.
Previous
Next