Awesome-MVS
Contributions welcomed!
Learning-based 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017
Traditional 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | Early
Learning-based MVS Methods
2024
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS]
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
RobustMVS: Single Domain Generalized Deep Multi-view Stereo
CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers
Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet]
HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
2023
Semi-supervised Deep Multi-view Stereo - [SDA-MVS]
S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching
When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet]
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet]
Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo
Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo