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

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CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer

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Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS]

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MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

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RobustMVS: Single Domain Generalized Deep Multi-view Stereo

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CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers

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Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet]

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HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo

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GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

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2023

Semi-supervised Deep Multi-view Stereo - [SDA-MVS]

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S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching

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When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet]

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CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning

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Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet]

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Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo

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Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo

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