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

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