๐ A list of awesome learning-based multi-view stereo papers
( ๐ป means code available)
๐ป Cascade Cost Volume for High-Resolutoin Multi-View Stereo and Stereo Matching [paper] [Github]
๐ป Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness [paper] [supp] [Github]
๐ป Cost Volume Pyramid Based Depth Inference for Multi-View Stereo [paper] [supp] [Github]
๐ป Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement [paper] [supp] [Github]
Attention-Aware Multi-View Stereo [paper]
๐ป A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset [paper] [Github] [data]
๐ป IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo [paper] [supp] [Github]
๐ป Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss [paper][supp] [Github]
๐ป RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo [paper] [supp] [Github]
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo [paper] [supp]
๐ป TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers [paper] [supp] [Github]
๐ป Generalized Binary Search Network for Highly-Efficient Multi-View Stereo [paper] [supp] [Github]
๐ป Efficient Multi-View Stereo by Iterative Dynamic Cost Volume [paper] [supp] [Github]
๐ป MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions [paper] [supp] [Github]
Middlebury [CVPR06']
EPFL [CVPR08']
DTU [CVPR2014, IJCV2016]
Tanks and Temples [ACM ToG2017]
ETH3D [CVPR2017]
BlendedMVS [CVPR2020]
GigaMVS [T-PAMI2021]
Multi-sensor large-scale dataset for multi-view 3D reconstruction [ArXiv2022]
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